Ausgabe 1/2022
Inhalt (330 Artikel)
Deep Q-networks with web-based survey data for simulating lung cancer intervention prediction and assessment in the elderly: a quantitative study
Songjing Chen, Sizhu Wu
Comparing machine learning algorithms for predicting COVID-19 mortality
Khadijeh Moulaei, Mostafa Shanbehzadeh, Zahra Mohammadi-Taghiabad, Hadi Kazemi-Arpanahi
Interpretable CNN for ischemic stroke subtype classification with active model adaptation
Shuo Zhang, Jing Wang, Lulu Pei, Kai Liu, Yuan Gao, Hui Fang, Rui Zhang, Lu Zhao, Shilei Sun, Jun Wu, Bo Song, Honghua Dai, Runzhi Li, Yuming Xu
Priority and age specific vaccination algorithm for the pandemic diseases: a comprehensive parametric prediction model
Onder Tutsoy, Mahmud Yusuf Tanrikulu
PrAna: an R package to calculate and visualize England NHS primary care prescribing data
Kishore Kumar Jagadeesan, James Grant, Sue Griffin, Ruth Barden, Barbara Kasprzyk-Hordern
Bayesian updating and sequential testing: overcoming inferential limitations of screening tests
Jacques Balayla
Digital decision aid for prenatal counseling in imminent extreme premature labor: development and pilot testing
Josephus F. M. van den Heuvel, Marije Hogeveen, Margo Lutke Holzik, Arno F. J. van Heijst, Mireille N. Bekker, Rosa Geurtzen
Application of the QFD-fuzzy-SERVQUAL methodology as a quality planning tool at the surgical centre of a public teaching hospital
Jurandir Barreto Galdino Junior, Hélio Roberto Hékis, José Alfredo Ferreira Costa, Íon Garcia Mascarenhas de Andrade, Eric Lucas dos Santos Cabral, Wilkson Ricardo Silva Castro, Davidson Rogério de Medeiros Florentino, Tiago de Oliveira Barreto, João Florêncio da Costa Júnior
Research, development, and evaluation of the practical effect of a storage inflow and outflow management system for consumables in the endocrinology department of a hospital
Jiang Luo, Yan Wang, Yongze Zhang, Xiaofang Yan, Xiaoting Huang, Fengying Zhao
Resource management framework using simulation modeling and multi-objective optimization: a case study of a front-end department of a public hospital in Thailand
Tanatorn Tanantong, Warut Pannakkong, Nittaya Chemkomnerd
Comparison of different feature extraction methods for applicable automated ICD coding
Zhao Shuai, Diao Xiaolin, Yuan Jing, Huo Yanni, Cui Meng, Wang Yuxin, Zhao Wei
Sequentially calibrating a Bayesian microsimulation model to incorporate new information and assumptions
Maria DeYoreo, Carolyn M. Rutter, Jonathan Ozik, Nicholson Collier
Application of machine learning missing data imputation techniques in clinical decision making: taking the discharge assessment of patients with spontaneous supratentorial intracerebral hemorrhage as an example
Huimin Wang, Jianxiang Tang, Mengyao Wu, Xiaoyu Wang, Tao Zhang
Prediction and risk stratification from hospital discharge records based on Hierarchical sLDA
Guanglei Yu, Linlin Zhang, Ying Zhang, Jiaqi Zhou, Tao Zhang, Xuehua Bi
Assessing the implementation of a clinical decision support tool in primary care for diabetes prevention: a qualitative interview study using the Consolidated Framework for Implementation Science
Rebekah Pratt, Daniel M. Saman, Clayton Allen, Benjamin Crabtree, Kris Ohnsorg, JoAnn M. Sperl-Hillen, Melissa Harry, Hilary Henzler-Buckingham, Patrick J. O’Connor, Jay Desai
Terminology integration and inconsistency identification of adverse event terminology for Japanese medical devices using SPARQL
Ayako Yagahara, Hideto Yokoi
Machine learning model for predicting acute kidney injury progression in critically ill patients
Canzheng Wei, Lifan Zhang, Yunxia Feng, Aijia Ma, Yan Kang
Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A systematic review
Benedikt Langenberger, Andreas Thoma, Verena Vogt
Use of diagnostic likelihood ratio of outcome to evaluate misclassification bias in the planning of database studies
Yoichi Ii, Shintaro Hiro, Yoshiomi Nakazuru
Semi-supervised incremental learning with few examples for discovering medical association rules
Ricardo Sánchez-de-Madariaga, Juan Martinez-Romo, José Miguel Cantero Escribano, Lourdes Araujo
A machine learning approach for modeling decisions in the out of hospital cardiac arrest care workflow
Samuel Harford, Marina Del Rios, Sara Heinert, Joseph Weber, Eddie Markul, Katie Tataris, Teri Campbell, Terry Vanden Hoek, Houshang Darabi
The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health
Sadrieh Hajesmaeel-Gohari, Firoozeh Khordastan, Farhad Fatehi, Hamidreza Samzadeh, Kambiz Bahaadinbeigy
A deterministic approach for protecting privacy in sensitive personal data
Demetris Avraam, Elinor Jones, Paul Burton
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions
Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank Mentch, Shawn N. Murphy, Peggy L. Peissig, Andrea H. Ramirez, Nephi Walton, Wei-Qi Wei, Luke V. Rasmussen
The perceived importance of prognostic aspects considered by physicians during work disability evaluation: a survey
Sylvia P. Snoeck-Krygsman, Frederieke G. Schaafsma, Birgit H. P. M. Donker-Cools, Carel T. J. Hulshof, Lyanne P. Jansen, René J. Kox, Jan L. Hoving
Efficacy prediction of noninvasive ventilation failure based on the stacking ensemble algorithm and autoencoder
Na Liang, Chengliang Wang, Jun Duan, Xin Xie, Yu Wang
E-health literacy in older adults: an evolutionary concept analysis
Sun Ok Jung, Yoon Hee Son, Eunju Choi
The development of a decision aid to support Hodgkin lymphoma survivors considering lung cancer screening
Rachel Broadbent, Tania Seale, Christopher J. Armitage, Kim Linton
Value of normative belief in intention to use workplace health promotion apps
Maren Junker, Markus Böhm, Mareike Franz, Tobias Fritsch, Helmut Krcmar
Evaluating the performance of temporal pattern discovery: new application using statins and rhabdomyolysis in OMOP databases
M. Lavallee, T. Yu, L. Evans, M. Van Hemelrijck, C. Bosco, A. Golozar, A. Asiimwe
Deep learning for prediction of population health costs
Philipp Drewe-Boss, Dirk Enders, Jochen Walker, Uwe Ohler
Evaluating semantic similarity methods for comparison of text-derived phenotype profiles
Luke T. Slater, Sophie Russell, Silver Makepeace, Alexander Carberry, Andreas Karwath, John A. Williams, Hilary Fanning, Simon Ball, Robert Hoehndorf, Georgios V. Gkoutos
Evaluation of Doc’EDS: a French semantic search tool to query health documents from a clinical data warehouse
Thibaut Pressat-Laffouilhère, Pierre Balayé, Badisse Dahamna, Romain Lelong, Kévin Billey, Stéfan J. Darmoni, Julien Grosjean
Population-based estimates of age and comorbidity specific life expectancy: a first application in Swedish males
Mieke Van Hemelrijck, Eugenio Ventimiglia, David Robinson, Rolf Gedeborg, Lars Holmberg, Pär Stattin, Hans Garmo
Diabetes mellitus risk prediction in the presence of class imbalance using flexible machine learning methods
Somayeh Sadeghi, Davood Khalili, Azra Ramezankhani, Mohammad Ali Mansournia, Mahboubeh Parsaeian
A configurable method for clinical quality measurement through electronic health records based on openEHR and CQL
Mengyang Li, Hailing Cai, Yunlong Zhi, Zehai Fu, Huilong Duan, Xudong Lu
Medically-oriented design for explainable AI for stress prediction from physiological measurements
Dalia Jaber, Hazem Hajj, Fadi Maalouf, Wassim El-Hajj
Learning dynamic treatment strategies for coronary heart diseases by artificial intelligence: real-world data-driven study
Haihong Guo, Jiao Li, Hongyan Liu, Jun He
Stochastic Petri net model describing the relationship between reported maternal and congenital syphilis cases in Brazil
Ricardo A. M. Valentim, Gleyson J. P. Caldeira-Silva, Rodrigo D. da Silva, Gabriela A. Albuquerque, Ion G. M. de Andrade, Ana Isabela L. Sales-Moioli, Talita K. de B. Pinto, Angélica E. Miranda, Leonardo J. Galvão-Lima, Agnaldo S. Cruz, Daniele M. S. Barros, Anna Giselle C. D. R. Rodrigues
Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records
Mengying Wang, Zhenhao Wei, Mo Jia, Lianzhong Chen, Hong Ji
Patient characteristics and utilization of an online patient portal in a rural academic general internal medicine practice
Stephen K. Liu, Annette E. Osborn, Sigall Bell, John N. Mecchella, Shoshana Hort, John A. Batsis
Clinical and operational insights from data-driven care pathway mapping: a systematic review
Matthew Manktelow, Aleeha Iftikhar, Magda Bucholc, Michael McCann, Maurice O’Kane
A scattered landscape: assessment of the evidence base for 71 patient decision aids developed in a hospital setting
Marion Danner, Marie Debrouwere, Anne Rummer, Kai Wehkamp, Jens Ulrich Rüffer, Friedemann Geiger, Robert Wolff, Karoline Weik, Fueloep Scheibler
Qualitative study of willingness and demand for participation in decision-making regarding anticoagulation therapy in patient undergoing heart valve replacement
YaNing Zang, ShanShan Liu, YuHong Chen
An electronic medical records study of population obesity prevalence in El Paso, Texas
Jennifer J. Salinas, Jon Sheen, Navkiran Shokar, Justin Wright, Gerardo Vazquez, Ogechika Alozie
Determinant factors in adopting mobile health application in healthcare by nurses
Soghra Nezamdoust, Mohammadhiwa Abdekhoda, Azad Rahmani
Overall performance of a drug–drug interaction clinical decision support system: quantitative evaluation and end-user survey
Greet Van De Sijpe, Charlotte Quintens, Karolien Walgraeve, Eva Van Laer, Jens Penny, Greet De Vlieger, Rik Schrijvers, Paul De Munter, Veerle Foulon, Minne Casteels, Lorenz Van der Linden, Isabel Spriet
Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy
Bart Kamphorst, Thomas Rooijakkers, Thijs Veugen, Matteo Cellamare, Daan Knoors
Impact of CancelRx on discontinuation of controlled substance prescriptions: an interrupted time series analysis
Taylor L. Watterson, Jamie A. Stone, Aaron Gilson, Roger Brown, Ka Z. Xiong, Anthony Schiefelbein, Edmond Ramly, Peter Kleinschmidt, Michael Semanik, Lauren Craddock, Samantha I. Pitts, Taylor Woodroof, Michelle A. Chui
Interpretable instance disease prediction based on causal feature selection and effect analysis
YuWen Chen, Ju Zhang, XiaoLin Qin
Willingness to pay for an mHealth anti-retroviral therapy adherence and information tool: Transitioning to sustainability, Call for life randomised study experience in Uganda
Agnes Bwanika Naggirinya, Eunice L. Kyomugisha, Maria S. Nabaggala, Benson Nasasira, Josephine Akirana, Elizabeth Oseku, Agnes Kiragga, Barbara Castelnuovo, Rachel L. King, Elly Katabira, Dathan M. Byonanebye, Mohammed Lamorde, Rosalind Parkes-Ratanshi
The effects of continuous care model using a smartphone application on adherence to treatment and self-efficacy among patients with multiple sclerosis
Seyed Mojtaba Kazemi, Mahnaz Rakhshan, Mozhgan Rivaz, Sadegh Izadi
Providing telenursing care for victims: a simulated study for introducing of possibility nursing interventions in disasters
Mahdiye Nejadshafiee, Mahmoud Nekoei-Moghadam, Kambiz Bahaadinbeigy, Hamidreza Khankeh, Hojjat Sheikhbardsiri
Machine learning based forecast for the prediction of inpatient bed demand
Manuel Tello, Eric S. Reich, Jason Puckey, Rebecca Maff, Andres Garcia-Arce, Biplab Sudhin Bhattacharya, Felipe Feijoo
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis
Lennert Verboven, Toon Calders, Steven Callens, John Black, Gary Maartens, Kelly E. Dooley, Samantha Potgieter, Robin M. Warren, Kris Laukens, Annelies Van Rie
Survival prediction in acute myeloid leukemia using gene expression profiling
Binbin Lai, Yanli Lai, Yanli Zhang, Miao Zhou, Guifang OuYang
Design and evaluation of a mobile-based nutrition education application for infertile women in Iran
Mostafa Langarizadeh, Seyed Ali Fatemi Aghda, Azadeh Nadjarzadeh
Venous thromboembolism risk assessment of surgical patients in Southwest China using real-world data: establishment and evaluation of an improved venous thromboembolism risk model
Peng Wang, Yao Wang, Zhaoying Yuan, Fei Wang, Hongqian Wang, Ying Li, Chengliang Wang, Linfeng Li
Intelligent virtual case learning system based on real medical records and natural language processing
Mengying Wang, Zhen Sun, Mo Jia, Yan Wang, Heng Wang, Xingxing Zhu, Lianzhong Chen, Hong Ji
Using information technology to optimize the identification process for outpatients having blood drawn and improve patient satisfaction
Li-Feng Wu, Guo-Hua Zhuang, Qi-Lei Hu, Liang Zhang, Zhang-Mei Luo, Yin-Jiang Lv, Jian Tang
Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission
Zhixu Hu, Hang Qiu, Liya Wang, Minghui Shen
Reinforcement learning evaluation of treatment policies for patients with hepatitis C virus
Brandon Oselio, Amit G. Singal, Xuefei Zhang, Tony Van, Boang Liu, Ji Zhu, Akbar K. Waljee
Contribution of health information system to child immunization services in Ethiopia: baseline study of 33 woredas
Abebaw Worku, Hibret Alemu, Hiwot Belay, Afrah Mohammedsanni, Wubshet Denboba, Frehiwot Mulugeta, Shemsedin Omer, Biruk Abate, Mesoud Mohammed, Mohammed Ahmed, Yakob Wondarad, Meskerem Abebaw
Clinician documentation of patient centered care in the electronic health record
Jorie M. Butler, Bryan Gibson, Olga V. Patterson, Laura J. Damschroder, Corrinne H. Halls, Daniel W. Denhalter, Matthew H. Samore, Haojia Li, Yue Zhang, Scott L. DuVall
Electronic medical record implementation in a large healthcare system from a leadership perspective
Yaseen M Arabi, Abdullah Ali Al Ghamdi, Mohamed Al-Moamary, Abdullah Al Mutrafy, Raed H. AlHazme, Bandar Abdulmohsen Al Knawy
Research on exercise fatigue estimation method of Pilates rehabilitation based on ECG and sEMG feature fusion
Dujuan Li, Caixia Chen
Participatory methods in a digital setting: experiences from the co-creation of an eHealth tool for people with chronic obstructive pulmonary disease
Sara Lundell, Annika Toots, Pernilla Sönnerfors, Alexandra Halvarsson, Karin Wadell
Predicting miRNA-disease associations via layer attention graph convolutional network model
Han Han, Rong Zhu, Jin-Xing Liu, Ling-Yun Dai
Impact of a system to assist in clinical decision-making in primary healthcare in Catalonia: prescription Self Audit
M. Àngels Pons-Mesquida, Míriam Oms-Arias, Albert Figueras, Eduard Diogène-Fadini
Development an extended-information success system model (ISSM) based on nurses’ point of view for hospital EHRs: a combined framework and questionnaire
Zahra Ebnehoseini, Hamed Tabesh, Amir Deghatipour, Mahmood Tara
Extracting clinical named entity for pituitary adenomas from Chinese electronic medical records
An Fang, Jiahui Hu, Wanqing Zhao, Ming Feng, Ji Fu, Shanshan Feng, Pei Lou, Huiling Ren, Xianlai Chen
Correction to: Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms
Yu-Tai Lo, Jay Chiehen Liao, Mei-Hua Chen, Chia-Ming Chang, Cheng-Te Li
Correction to: Stochastic Petri net model describing the relationship between reported maternal and congenital syphilis cases in Brazil
Ricardo A. M. Valentim, Gleyson J. P. Caldeira-Silva, Rodrigo D. da Silva, Gabriela A. Albuquerque, Ion G. M. de Andrade, Ana Isabela L. Sales-Moioli, Talita K. de B. Pinto, Angélica Espinosa Miranda, Leonardo J. Galvão-Lima, Agnaldo S. Cruz, Daniele M. S. Barros, Anna Giselle C. D. R. Rodrigues
Explainable machine learning to predict long-term mortality in critically ill ventilated patients: a retrospective study in central Taiwan
Ming-Cheng Chan, Kai-Chih Pai, Shao-An Su, Min-Shian Wang, Chieh-Liang Wu, Wen-Cheng Chao
Business intelligence applied to the consumption of iodinated contrast agents in computed tomography scans
José Rodrigo M. Andrade, Luciano Costa Blomberg
Evaluation of an ARF diagnosis calculator: a survey and content analysis
Elizabeth Fisher, Christian James, Diana Mosca, Bart J. Currie, Anna P. Ralph
Prognosis patients with COVID-19 using deep learning
José Luis Guadiana-Alvarez, Fida Hussain, Ruben Morales-Menendez, Etna Rojas-Flores, Arturo García-Zendejas, Carlos A. Escobar, Ricardo A. Ramírez-Mendoza, Jianhong Wang
Study of patients' attitude to automatic interpretation of laboratory test results and its influence on follow-up rate
Georgy Kopanitsa
Benefits and concerns associated with blockchain-based health information exchange (HIE): a qualitative study from physicians' perspectives
Pouyan Esmaeilzadeh
Usability evaluation of the Computer-Based Health Evaluation System (CHES) eDiary for patients with faecal incontinence: a pilot study
Jens Lehmann, Isabel Schreyer, David Riedl, Michael Tschuggnall, Johannes M. Giesinger, Marjiana Ninkovic, Marcus Huth, Irmgard Kronberger, Gerhard Rumpold, Bernhard Holzner
Solving the class imbalance problem using ensemble algorithm: application of screening for aortic dissection
Lijue Liu, Xiaoyu Wu, Shihao Li, Yi Li, Shiyang Tan, Yongping Bai
Visualization of medical concepts represented using word embeddings: a scoping review
Naima Oubenali, Sabrina Messaoud, Alexandre Filiot, Antoine Lamer, Paul Andrey
Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity
Paul Sabharwal, Jillian H. Hurst, Rohit Tejwani, Kevin T. Hobbs, Jonathan C. Routh, Benjamin A. Goldstein
Modeling the diagnosis of coronary artery disease by discriminant analysis and logistic regression: a cross-sectional study
Sahar Shariatnia, Majid Ziaratban, Abdolhalim Rajabi, Aref Salehi, Kobra Abdi Zarrini, Mohammadali Vakili
The impact of a novel medication scanner on administration errors in the hospital setting: a before and after feasibility study
Clare L. Tolley, Neil W. Watson, Andrew Heed, Jochen Einbeck, Suzanne Medows, Linda Wood, Layla Campbell, Sarah P. Slight
mBrain: towards the continuous follow-up and headache classification of primary headache disorder patients
Mathias De Brouwer, Nicolas Vandenbussche, Bram Steenwinckel, Marija Stojchevska, Jonas Van Der Donckt, Vic Degraeve, Jasper Vaneessen, Filip De Turck, Bruno Volckaert, Paul Boon, Koen Paemeleire, Sofie Van Hoecke, Femke Ongenae
Privacy-preserving logistic regression with secret sharing
Ali Reza Ghavamipour, Fatih Turkmen, Xiaoqian Jiang
MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network
Haider Ali, Imran ul Haq, Lei Cui, Jun Feng
The use of electronic health records to inform cancer surveillance efforts: a scoping review and test of indicators for public health surveillance of cancer prevention and control
Sarah Conderino, Stefanie Bendik, Thomas B. Richards, Claudia Pulgarin, Pui Ying Chan, Julie Townsend, Sungwoo Lim, Timothy R. Roberts, Lorna E. Thorpe
A novel nomogram to predict mortality in patients with stroke: a survival analysis based on the MIMIC-III clinical database
Xiao-Dan Li, Min-Min Li
Developing a random forest algorithm to identify patent foramen ovale and atrial septal defects in Ontario administrative databases
Laura Oliva, Eric Horlick, Bo Wang, Ella Huszti, Ruth Hall, Lusine Abrahamyan
Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians
Rachel Canaway, Douglas Boyle, Jo-Anne Manski-Nankervis, Kathleen Gray
Development and usability of a web-based patient-tailored tool to support adherence to urate-lowering therapy in gout
Ritch te Kampe, Annelies Boonen, Tim L. Jansen, Jan Mathis Elling, Marcel Flendrie, Yvonne van Eijk-Hustings, Matthijs Janssen, Caroline van Durme, Hein de Vries
Evaluation and comparison of errors on nursing notes created by online and offline speech recognition technology and handwritten: an interventional study
Sahar Peivandi, Leila Ahmadian, Jamileh Farokhzadian, Yunes Jahani
Barriers and facilitators for disease registry systems: a mixed-method study
Mina Lazem, Abbas Sheikhtaheri
Evaluation of the clinical application effect of eSource record tools for clinical research
Bin Wang, Xinbao Hao, Xiaoyan Yan, Junkai Lai, Feifei Jin, Xiwen Liao, Hongju Xie, Chen Yao
Survey of the patients' perspectives and preferences in adopting telepharmacy versus in-person visits to the pharmacy: a feasibility study during the COVID-19 pandemic
Khadijeh Moulaei, Mostafa Shanbehzadeh, Kambiz Bahaadinbeigy, Hadi Kazemi-Arpanahi
An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack
Dipen Patel, Yamiko J Msosa, Tao Wang, Omar G Mustafa, Siobhan Gee, Julie Williams, Angus Roberts, Richard JB Dobson, Fiona Gaughran
Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals
Jamilah Ahmed Alsaidan, Jane Portlock, Sondus I. Ata, Hisham S. Aljadhey, Bryony Dean Franklin
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning
Vincent M. D’Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
A pattern-discovery-based outcome predictive tool integrated with clinical data repository: design and a case study on contrast related acute kidney injury
Yuxi Li, Tak-Ming Chan, Jinghan Feng, Liang Tao, Jie Jiang, Bo Zheng, Yong Huo, Jianping Li
Mean generation function model in AIDS epidemic estimation
Lei Yuan, Shiyin Tian, Zhe Zhao, Pei Liu, Lijuan Liu, Jinhai Sun
Telemedicine application in patients with chronic disease: a systematic review and meta-analysis
Yue Ma, Chongbo Zhao, Yan Zhao, Jiahong Lu, Hong Jiang, Yanpei Cao, Yafang Xu
Development of clinical-guideline-based mobile application and its effect on head CT scan utilization in neurology and neurosurgery departments
Zahra Meidani, Fatemeh Atoof, Zohre Mobarak, Ehsan Nabovati, Reza Daneshvar Kakhki, Ebrahim Kouchaki, Esmaeil Fakharian, Ali Mohammad Nickfarjam, Felix Holl
Correction to: Evaluation of Doc’EDS: a French semantic search tool to query health documents from a clinical data warehouse
Thibaut Pressat-Laffouilhère, Pierre Balayé, Badisse Dahamna, Romain Lelong, Kévin Billey, Stéfan J. Darmoni, Julien Grosjean
Environmental and clinical data utility in pediatric asthma exacerbation risk prediction models
Jillian H. Hurst, Congwen Zhao, Haley P. Hostetler, Mohsen Ghiasi Gorveh, Jason E. Lang, Benjamin A. Goldstein
Machine learning to predict no reflow and in-hospital mortality in patients with ST-segment elevation myocardial infarction that underwent primary percutaneous coronary intervention
Lianxiang Deng, Xianming Zhao, Xiaolin Su, Mei Zhou, Daizheng Huang, Xiaocong Zeng
Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data
Zhenhui Xu, Congwen Zhao, Charles D. Scales Jr, Ricardo Henao, Benjamin A. Goldstein
Implementation rate and effects of multidisciplinary team meetings on decision making about radiotherapy: an observational study at a single Japanese institution
Mayumi Ichikawa, Ken Uematsu, Natsuko Yano, Masayoshi Yamada, Takashi Ono, Shohei Kawashiro, Hiroko Akamatsu, Yasuhito Hagiwara, Hiraku Sato, Kenji Nemoto
Adopting wearables to customize health insurance contributions: a ranking-type Delphi
Daniel Neumann, Victor Tiberius, Florin Biendarra
Discovery of genes positively modulating treatment effect using potential outcome framework and Bayesian update
Young Keun Lee, Jisoo Kim, Sung Wook Seo
Improving medical term embeddings using UMLS Metathesaurus
Ashis Kumar Chanda, Tian Bai, Ziyu Yang, Slobodan Vucetic
Machine learning approaches to predict the 1-year-after-initial-AMI survival of elderly patients
Jisoo Lee, Sulyun Lee, W. Nick Street, Linnea A. Polgreen
Distinguished representation of identical mentions in bio-entity coreference resolution
Yufei Li, Xiangyu Zhou, Jie Ma, Xiaoyong Ma, Pengzhen Cheng, Tieliang Gong, Chen Li
Prediction of unplanned 30-day readmission for ICU patients with heart failure
M. Pishgar, J. Theis, M. Del Rios, A. Ardati, H. Anahideh, H. Darabi
Smartphone-based mobile applications for adverse drug reactions reporting: global status and country experience
Ayako Fukushima, Noha Iessa, Madhava Ram Balakrishnan, Shanthi Narayan Pal
Dynamic Bayesian network for predicting physiological changes, organ dysfunctions and mortality risk in critical trauma patients
Qi Chen, Bihan Tang, Jiaqi Song, Ying Jiang, Xinxin Zhao, Yiming Ruan, Fangjie Zhao, Guosheng Wu, Tao Chen, Jia He
Electronic health record implementation and healthcare workers’ work characteristics and autonomous motivation—a before-and-after study
Gepke L. Veenstra, Eric F. Rietzschel, Eric Molleman, Erik Heineman, Jan Pols, Gera A. Welker
Electronic prescribing systems as tools to improve patient care: a learning health systems approach to increase guideline concordant prescribing for venous thromboembolism prevention
S. Gallier, A. Topham, P. Nightingale, M. Garrick, I. Woolhouse, M. A. Berry, T. Pankhurst, E. Sapey, S. Ball
Fusing pre-trained convolutional neural networks features for multi-differentiated subtypes of liver cancer on histopathological images
Xiaogang Dong, Min Li, Panyun Zhou, Xin Deng, Siyu Li, Xingyue Zhao, Yi Wu, Jiwei Qin, Wenjia Guo
A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients
Negar Bakhtiarvand, Mehdi Khashei, Mehdi Mahnam, Somayeh Hajiahmadi
A cumulative prospect theory-based method for group medical emergency decision-making with interval uncertainty
Jiayi Sun, Xiang Zhou, Juan Zhang, Kemei Xiang, Xiaoxiong Zhang, Ling Li
Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals
J. A. Andrews, M. P. Craven, A. R. Lang, B. Guo, R. Morriss, C. Hollis
Evaluating breast cancer websites targeting Arabic speakers: empirical investigation of popularity, availability, accessibility, readability, and quality
Zahraa Jasem, Zainab AlMeraj, Dari Alhuwail
The development and implementation of a guideline-based clinical decision support system to improve empirical antibiotic prescribing
H. Akhloufi, H. van der Sijs, D. C. Melles, C. P. van der Hoeven, M. Vogel, J. W. Mouton, A. Verbon
Correction to: Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity
Paul Sabharwal, Jillian H. Hurst, Rohit Tejwani, Kevin T. Hobbs, Jonathan C. Routh, Benjamin A. Goldstein
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening
Robert B. Penfold, David S. Carrell, David J. Cronkite, Chester Pabiniak, Tammy Dodd, Ashley MH Glass, Eric Johnson, Ella Thompson, H. Michael Arrighi, Paul E. Stang
The development of a patient decision aid to reduce decisional conflict about antidepressant use in pregnancy
Neesha Hussain-Shamsy, Sarah Somerton, Donna E. Stewart, Sophie Grigoriadis, Kelly Metcalfe, Tim F. Oberlander, Carrie Schram, Valerie H. Taylor, Cindy-Lee Dennis, Simone N. Vigod
Decision-support systems for ambulatory care, including pandemic requirements: using mathematically optimized solutions
Neele Leithäuser, Dennis Adelhütte, Kristin Braun, Christina Büsing, Martin Comis, Timo Gersing, Sebastian Johann, Arie M. C. A. Koster, Sven O. Krumke, Frauke Liers, Eva Schmidt, Johanna Schneider, Manuel Streicher, Sebastian Tschuppik, Sophia Wrede
Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model
Teddy Lazebnik, Zaher Bahouth, Svetlana Bunimovich-Mendrazitsky, Sarel Halachmi
Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach
Jalmari Tuominen, Francesco Lomio, Niku Oksala, Ari Palomäki, Jaakko Peltonen, Heikki Huttunen, Antti Roine
An evaluation of an Extension for Community Healthcare Outcomes (ECHO) intervention in cancer prevention and survivorship care
Zheng Z. Milgrom, Tyler S. Severance, Caitlin M. Scanlon, Anyé T. Carson, Andrea D. Janota, Terry A. Vik, Joan M. Duwve, Brian E. Dixon, Eneida A. Mendonca
Clinician based decision tool to guide recommended interval between colonoscopies: development and evaluation pilot study
Leigh Anne Shafer, Gayle Restall, Alexandria Simms, Eugene Lee, Jason Park, Harminder Singh
Prediction of acute kidney injury risk after cardiac surgery: using a hybrid machine learning algorithm
Yelena Petrosyan, Thierry G. Mesana, Louise Y. Sun
Automatic recognition of micronucleus by combining attention mechanism and AlexNet
Weiyi Wei, Hong Tao, Wenxia Chen, Xiaoqin Wu
Predictive modeling for COVID-19 readmission risk using machine learning algorithms
Mostafa Shanbehzadeh, Azita Yazdani, Mohsen Shafiee, Hadi Kazemi-Arpanahi
Health workers' use of routine health information and related factors at public health institutions in Illubabor Zone, Western Ethiopia
Amanuel Benti Abdisa, Kifle Woldemichael Hajito, Dawit Wolde Daka, Meskerem Seboka Ergiba, Asaye Birhanu Senay, Ketema Lemma Abdi, Muluemebet Abera Wordofa
Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy
Teresa Angela Trunfio, Arianna Scala, Cristiana Giglio, Giovanni Rossi, Anna Borrelli, Maria Romano, Giovanni Improta
Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability
Jenna Marie Reps, Ross D. Williams, Martijn J. Schuemie, Patrick B. Ryan, Peter R. Rijnbeek
Development and user-testing of a digital patient decision aid to facilitate shared decision-making for people with stable angina
Emma Harris, Dwayne Conway, Angel Jimenez-Aranda, Jeremy Butts, Philippa Hedley-Takhar, Richard Thomson, Felicity Astin
Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts
Georgios Baskozos, Andreas C. Themistocleous, Harry L. Hebert, Mathilde M. V. Pascal, Jishi John, Brian C. Callaghan, Helen Laycock, Yelena Granovsky, Geert Crombez, David Yarnitsky, Andrew S. C. Rice, Blair H. Smith, David L. H. Bennett
Effects of a smartphone application named “Shared Decision Making Assistant” for informed patients with primary liver cancer in decision-making in China: a quasi-experimental study
Sitong Wang, Qingwen Lu, Zhixia Ye, Fang Liu, Ning Yang, Zeya Pan, Yu Li, Li Li
Development and assessment of PharmaCheck: an electronic screening tool for the prevention of twenty major adverse drug events
Christian Skalafouris, Jean-Luc Reny, Jérôme Stirnemann, Olivier Grosgurin, François Eggimann, Damien Grauser, Daniel Teixeira, Megane Jermini, Christel Bruggmann, Pascal Bonnabry, Bertrand Guignard
Performance of a rule-based semi-automated method to optimize chart abstraction for surveillance imaging among patients treated for non-small cell lung cancer
Catherine Byrd, Ureka Ajawara, Ryan Laundry, John Radin, Prasha Bhandari, Ann Leung, Summer Han, Stephen M. Asch, Steven Zeliadt, Alex H. S. Harris, Leah Backhus
Integrating functional data analysis with case-based reasoning for hypertension prognosis and diagnosis based on real-world electronic health records
Ping Qi, Fucheng Wang, Yong Huang, Xiaoling Yang
Retraction Note: Meta-analysis of contrast-enhanced ultrasound and contrast-enhanced harmonic endoscopic ultrasound for the diagnosis of gallbladder malignancy
Xue Liang, Xiang Jing
Daily surgery caseload prediction: towards improving operating theatre efficiency
Hamed Hassanzadeh, Justin Boyle, Sankalp Khanna, Barbara Biki, Faraz Syed
Advancing artificial intelligence-assisted pre-screening for fragile X syndrome
Arezoo Movaghar, David Page, Murray Brilliant, Marsha Mailick
Data quality and associated factors in the health management information system at health centers in Shashogo district, Hadiya zone, southern Ethiopia, 2021
Nigusu Getachew, Bereket Erkalo, Muluneh Getachew Garedew
Comparison of usability evaluation methods for a health information system: heuristic evaluation versus cognitive walkthrough method
Mehrdad Farzandipour, Ehsan Nabovati, Monireh Sadeqi Jabali
Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer
Faith Wavinya Mutinda, Kongmeng Liew, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
Discriminating TB lung nodules from early lung cancers using deep learning
Heng Tan, Jason H. T. Bates, C. Matthew Kinsey
Supporting family care: a scoping app review
Katharina Bidenko, Sabine Bohnet-Joschko
Testing delivery of components of cognitive behavioral therapy for insomnia to breast cancer survivors by smart speaker: a study protocol
Claire M. Starling, Daniel Greenberg, Eric Zhou, Daniel Lewin, Allison S. Morrow, Daniel Lieberman, Callen Shaw, Hannah Arem
Identifying the content, functionalities, and features of a mobile application for contact lens wearers
Fatemeh Falahati-Marvast, Andrew D. Pucker, Fateme Alipour, Jamileh Farokhzadian, Leila Ahmadian
Impact of an electronic medical record-based automated screening program for critical congenital heart disease: Emirates Health Services, United Arab Emirates
Sumaya Al Zarouni, Noor Majed Al Mheiri, Kalthoom Al Blooshi, Yousif Al Serkal, Neema Preman, Sadaf Ahsan Naqvi, Yasir Khan
Using machine learning to predict subsequent events after EMS non-conveyance decisions
Jani Paulin, Akseli Reunamo, Jouni Kurola, Hans Moen, Sanna Salanterä, Heikki Riihimäki, Tero Vesanen, Mari Koivisto, Timo Iirola
Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches
Farzad Mirzakhani, Farahnaz Sadoughi, Mahboobeh Hatami, Alireza Amirabadizadeh
A telemonitoring system to support CPAP therapy in patients with obstructive sleep apnea: a participatory approach in analysis, design, and evaluation
Shokoufeh Aalaei, Mahnaz Amini, Mohammad Reza Mazaheri Habibi, Hadi Shahraki, Saeid Eslami
A hybrid method based on semi-supervised learning for relation extraction in Chinese EMRs
Chunming Yang, Dan Xiao, Yuanyuan Luo, Bo Li, Xujian Zhao, Hui Zhang
Improving patient self-description in Chinese online consultation using contextual prompts
Xuedong Li, Dezhong Peng, Yue Wang
Decision aids linked to the recommendations in clinical practice guidelines: results of the acceptability of a decision aid for patients with generalized anxiety disorder
Vanesa Ramos-García, Lilisbeth Perestelo-Pérez, Amado Rivero-Santana, Wenceslao Peñate-Castro, Andrea Duarte-Díaz, Yolanda Álvarez-Pérez, María del Mar Trujillo-Martín, María Isabel del Cura-González, Pedro Serrano-Aguilar
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines
Clávison Martinelli Zapelini, Dayani Galato, Graziela Modolon Alano, Karina Saviatto de Carvalho Martins, Silvana Cristina Trauthman, Alessandra Soares, Fabiana Schuelter-Trevisol, Daisson José Trevisol
Development and validation of a health information system for assistance and research in gestational trophoblast disease
Jaqueline Martins, Paulo Bandiera-Paiva, Antonio Rodrigues Braga Neto, Lucas Ribeiro Borges de Carvalho, Lúcio Padrini-Andrade, Vitor Tonini Machado, Antônio Carlos da Silva Junior, Sue Yazaki Sun
Using an optimized generative model to infer the progression of complications in type 2 diabetes patients
Xiaoxia Wang, Yifei Lin, Yun Xiong, Suhua Zhang, Yanming He, Yuqing He, Zhikun Zhang, Joseph M. Plasek, Li Zhou, David W. Bates, Chunlei Tang
Autonomous modeling of repetitive movement for rehabilitation exercise monitoring
Prayook Jatesiktat, Guan Ming Lim, Christopher Wee Keong Kuah, Dollaporn Anopas, Wei Tech Ang
Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism
Chen Chen, Cheng Chen, Mingrui Ma, Xiaojian Ma, Xiaoyi Lv, Xiaogang Dong, Ziwei Yan, Min Zhu, Jiajia Chen
End-users feedback and perceptions associated with the implementation of a clinical-rule based Check of Medication Appropriateness service
Charlotte Quintens, Willy E. Peetermans, Lorenz Van der Linden, Peter Declercq, Bart Van den Bosch, Isabel Spriet
The effect of My Health Record use in the emergency department on clinician-assessed patient care: results from a survey
Alexandra Mullins, Renee O’Donnell, Heather Morris, Michael Ben-Meir, Kostas Hatzikiriakidis, Lisa Brichko, Helen Skouteris
Use of machine learning to identify patients at risk of sub-optimal adherence: study based on real-world data from 10,929 children using a connected auto-injector device
Amalia Spataru, Paula van Dommelen, Lilian Arnaud, Quentin Le Masne, Silvia Quarteroni, Ekaterina Koledova
Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran
Mohsen Shafiee, Mohammad Mahboubi, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Creating sparser prediction models of treatment outcome in depression: a proof-of-concept study using simultaneous feature selection and hyperparameter tuning
Nicolas Rost, Tanja M. Brückl, Nikolaos Koutsouleris, Elisabeth B. Binder, Bertram Müller-Myhsok
Study of the factors influencing the use of MyData platform based on personal health record data sharing system
Wona Choi, Se-Hyun Chang, Yoon-Sik Yang, Surin Jung, Seo-Joon Lee, Ji-Won Chun, Dai-Jin Kim, Woonjeong Lee, In Young Choi
Analyzing patient experiences using natural language processing: development and validation of the artificial intelligence patient reported experience measure (AI-PREM)
Marieke M. van Buchem, Olaf M. Neve, Ilse M. J. Kant, Ewout W. Steyerberg, Hileen Boosman, Erik F. Hensen
Secondary use of health care data and left-over biosamples within the ‘Medical Informatics Initiative’ (MII): a quasi-randomized controlled evaluation of patient perceptions and preferences regarding the consent process
Sybille Roschka, Torsten Leddig, Mandy Bullerjahn, Gesine Richter, Wenke Liedtke, Martin Langanke, Wolfgang Hoffmann
An exploration of expectations and perceptions of practicing physicians on the implementation of computerized clinical decision support systems using a Qsort approach
Wim Van Biesen, Daan Van Cauwenberge, Johan Decruyenaere, Tamara Leune, Sigrid Sterckx
“It’s all about time and timing”: nursing staffs’ experiences with an agile development process, from its initial requirements to the deployment of its outcome of ICT solutions to support discharge planning
Sofi Nordmark, Inger Lindberg, Karin Zingmark
Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records
Davi Silva Rodrigues, Ana Catharina S. Nastri, Marcello M. Magri, Maura Salaroli de Oliveira, Ester C. Sabino, Pedro H. M. F. Figueiredo, Anna S. Levin, Maristela P. Freire, Leila S. Harima, Fátima L. S. Nunes, João Eduardo Ferreira, Geraldo Busatto, Eloisa Bonfá, Edivaldo Utiyama, Aluisio Segurado, Beatriz Perondi, Anna M. Morais, Amanda Montal, Solange Fusco, Marjorie Fregonesi, Marcelo Rocha, Izabel Marcilio, Izabel C. Rios, Fabiane Y. O. Kawano, M. Amelia de Jesus, Esper G. Kallas, Carolina Marmo, Clarice Tanaka, Heraldo P. de Souza, Julio F. M. Marchini, Carlos Carvalho, Juliana C. Ferreira, Thais Guimaraes, Carolina S. Lazari, Alberto J. S. Duarte, M. Cristina P. B. Francisco, Silvia F. Costa
Correction to: Decision aids linked to the recommendations in clinical practice guidelines: results of the acceptability of a decision aid for patients with generalized anxiety disorder
Vanesa Ramos-García, Lilisbeth Perestelo-Pérez, Amado Rivero-Santana, Wenceslao Peñate-Castro, Andrea Duarte-Díaz, Yolanda Álvarez-Pérez, María del Mar Trujillo-Martín, María Isabel del Cura-González, Pedro Serrano-Aguilar
Obtaining patients’ medical history using a digital device prior to consultation in primary care: study protocol for a usability and validity study
Klara Albrink, Carla Joos, Dominik Schröder, Frank Müller, Eva Hummers, Eva Maria Noack
Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold
Ali Alfatemi, Hong Peng, Wentao Rong, Bin Zhang, Hongmin Cai
Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model
Jahir Uddin Palas, Golam Sorwar, Md Rakibul Hoque, Achchuthan Sivabalan
Application of machine learning models based on decision trees in classifying the factors affecting mortality of COVID-19 patients in Hamadan, Iran
Samad Moslehi, Niloofar Rabiei, Ali Reza Soltanian, Mojgan Mamani
Online selection of a physician by patients: the impression formation perspective
Zhengwei Huang, Chen Duan, Yanni Yang, Ribesh Khanal
A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID‐19 patients
M. Pishgar, S. Harford, J. Theis, W. Galanter, J. M. Rodríguez-Fernández, L. H Chaisson, Y. Zhang, A. Trotter, K. M. Kochendorfer, A. Boppana, H. Darabi
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection
Anaram Yaghoobi Notash, Aidin Yaghoobi Notash, Zahra Omidi, Shahpar Haghighat
Combining symbolic regression with the Cox proportional hazards model improves prediction of heart failure deaths
Casper Wilstrup, Chris Cave
Adapting user-centered design principles to improve communication of peer parent narratives on pediatric tracheostomy
Haoyang Yan, Stephanie K. Kukora, Kenneth Pituch, Patricia J. Deldin, Cynthia Arslanian-Engoren, Brian J. Zikmund-Fisher
Preference and usage pattern of mobile medical apps for drug information purposes among hospital pharmacists in Sarawak, Malaysia
Boon Phiaw Kho, Sheng Ming Andy Wong, Jin Wei Timothy Chiu, Eon Liew
Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT)
Jia Li, Yucong Lin, Pengfei Zhao, Wenjuan Liu, Linkun Cai, Jing Sun, Lei Zhao, Zhenghan Yang, Hong Song, Han Lv, Zhenchang Wang
A multi-layer soft lattice based model for Chinese clinical named entity recognition
Shuli Guo, Wentao Yang, Lina Han, Xiaowei Song, Guowei Wang
Mobile health application for Thai women: investigation and model
Chalermpon Kongjit, Acrapol Nimmolrat, Achara Khamaksorn
An interpretable neural network for outcome prediction in traumatic brain injury
Cristian Minoccheri, Craig A. Williamson, Mark Hemmila, Kevin Ward, Erica B. Stein, Jonathan Gryak, Kayvan Najarian
The impact of changes in coding on mortality reports using the example of sepsis
Catherine Atkin, Tanya Pankhurst, David McNulty, Ann Keogh, Suzy Gallier, Domenico Pagano, Elizabeth Sapey, Simon Ball
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis
Nuo Lei, Xianlong Zhang, Mengting Wei, Beini Lao, Xueyi Xu, Min Zhang, Huifen Chen, Yanmin Xu, Bingqing Xia, Dingjun Zhang, Chendi Dong, Lizhe Fu, Fang Tang, Yifan Wu
Mobile health platform based on user-centered design to promote exercise for patients with peripheral artery disease
Mihui Kim, Yesol Kim, Mona Choi
Challenges of Telemedicine during the COVID-19 pandemic: a systematic review
Racha Ftouni, Baraa AlJardali, Maya Hamdanieh, Louna Ftouni, Nariman Salem
Qualitative analysis of shared decision-making for chemoprevention in the primary care setting: provider-related barriers
Tarsha Jones, Thomas Silverman, Ashlee Guzman, Julia E. McGuinness, Meghna S. Trivedi, Rita Kukafka, Katherine D. Crew
A novel EEG-based major depressive disorder detection framework with two-stage feature selection
Yujie Li, Yingshan Shen, Xiaomao Fan, Xingxian Huang, Haibo Yu, Gansen Zhao, Wenjun Ma
Examining the adoption and implementation of behavioral electronic health records by healthcare professionals based on the clinical adoption framework
Sooyoung Yoo, Kahyun Lim, Se Young Jung, Keehyuck Lee, Donghyun Lee, Seok Kim, Ho-Young Lee, Hee Hwang
The test characteristics of a biased or ignorant diagnostician
Amnon Sonnenberg
Research on early warning of renal damage in hypertensive patients based on the stacking strategy
Qiubo Bi, Zemin Kuang, E. Haihong, Meina Song, Ling Tan, Xinying Tang, Xing Liu
DQAgui: a graphical user interface for the MIRACUM data quality assessment tool
Jonathan M. Mang, Susanne A. Seuchter, Christian Gulden, Stefanie Schild, Detlef Kraska, Hans-Ulrich Prokosch, Lorenz A. Kapsner
Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale
Aurore Nishimwe, Charles Ruranga, Clarisse Musanabaganwa, Regine Mugeni, Muhammed Semakula, Joseph Nzabanita, Ignace Kabano, Annie Uwimana, Jean N. Utumatwishima, Jean Damascene Kabakambira, Annette Uwineza, Lars Halvorsen, Freija Descamps, Jared Houghtaling, Benjamin Burke, Odile Bahati, Clement Bizimana, Stefan Jansen, Celestin Twizere, Kizito Nkurikiyeyezu, Francine Birungi, Sabin Nsanzimana, Marc Twagirumukiza
Digital health for emotional and self-management support of caregivers of children receiving growth hormone treatment: a feasibility study protocol
Sergio Cervera-Torres, Francisco José Núñez-Benjumea, Antonio de Arriba Muñoz, Irene Alice Chicchi Giglioli, Luis Fernández-Luque
Detection of developmental dysplasia of the hip in X-ray images using deep transfer learning
Mohammad Fraiwan, Noran Al-Kofahi, Ali Ibnian, Omar Hanatleh
Human-centered design of clinical decision support for management of hypertension with chronic kidney disease
Pamela M. Garabedian, Michael P. Gannon, Skye Aaron, Edward Wu, Zoe Burns, Lipika Samal
Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making
Kaibiao Lin, Yong Liu, Ping Lu, Yimin Yang, Haiting Fan, Feiping Hong
Validation of the German eHealth impact questionnaire for online health information users affected by multiple sclerosis
Anna Sippel, Karin Riemann-Lorenz, Jana Pöttgen, Renate Wiedemann, Karin Drixler, Eva Maria Bitzer, Christine Holmberg, Susanne Lezius, Christoph Heesen
The development of a web-based app employing machine learning for delirium prevention in long-term care facilities in South Korea
Kyoung Ja Moon, Chang-Sik Son, Jong-Ha Lee, Mina Park
Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model
Huixian Zha, Kouying Liu, Ting Tang, Yue-Heng Yin, Bei Dou, Ling Jiang, Hongyun Yan, Xingyue Tian, Rong Wang, Weiping Xie
Machine learning-based prediction of fainting during blood donations using donor properties and weather data as features
Susanne Suessner, Norbert Niklas, Ulrich Bodenhofer, Jens Meier
Concordance between influential adverse treatment outcomes and localized prostate cancer treatment decisions
Rachel A. Pozzar, Niya Xiong, Fangxin Hong, Christopher P. Filson, Peter Chang, Barbara Halpenny, Donna L. Berry
Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients
Jarne Verhaeghe, Sofie A. M. Dhaese, Thomas De Corte, David Vander Mijnsbrugge, Heleen Aardema, Jan G. Zijlstra, Alain G. Verstraete, Veronique Stove, Pieter Colin, Femke Ongenae, Jan J. De Waele, Sofie Van Hoecke
Evaluation and optimization of novel extraction algorithms for the automatic detection of atrial activations recorded within the pulmonary veins during atrial fibrillation
Yann Prudat, Adrian Luca, Sasan Yazdani, Nicolas Derval, Pierre Jaïs, Laurent Roten, Benjamin Berte, Etienne Pruvot, Jean-Marc Vesin, Patrizio Pascale
On the analysis of data augmentation methods for spectral imaged based heart sound classification using convolutional neural networks
George Zhou, Yunchan Chen, Candace Chien
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes
Deepika Verma, Duncan Jansen, Kerstin Bach, Mannes Poel, Paul Jarle Mork, Wendy Oude Nijeweme d’Hollosy
Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them
Sajad Khodabandelu, Zahra Basirat, Sara Khaleghi, Soraya Khafri, Hussain Montazery Kordy, Masoumeh Golsorkhtabaramiri
Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning
Hyung Jun Park, Namu Park, Jang Ho Lee, Myeong Geun Choi, Jin-Sook Ryu, Min Song, Chang-Min Choi
Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method
Wanrong Yang, Jiajie Xu, Junhong Xiang, Zhonghong Yan, Hengyu Zhou, Binbin Wen, Hai Kong, Rui Zhu, Wang Li
Electronic prescription system requirements: a scoping review
Marjan Vejdani, Mehdi Varmaghani, Marziyhe Meraji, Jamshid Jamali, Elaheh Hooshmand, Ali Vafaee-Najar
Machine learning algorithms for predicting low birth weight in Ethiopia
Wondesen Teshome Bekele
Detection of statin-induced rhabdomyolysis and muscular related adverse events through data mining technique
Patratorn Kunakorntham, Oraluck Pattanaprateep, Charungthai Dejthevaporn, Ratchainant Thammasudjarit, Ammarin Thakkinstian
BertSRC: transformer-based semantic relation classification
Yeawon Lee, Jinseok Son, Min Song
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia
Mostafa Shanbehzadeh, Mohammad Reza Afrash, Nader Mirani, Hadi Kazemi-Arpanahi
Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?
Amanda L. Terry, Jacqueline K. Kueper, Ron Beleno, Judith Belle Brown, Sonny Cejic, Janet Dang, Daniel Leger, Scott McKay, Leslie Meredith, Andrew D. Pinto, Bridget L. Ryan, Moira Stewart, Merrick Zwarenstein, Daniel J. Lizotte
OntoPharma: ontology based clinical decision support system to reduce medication prescribing errors
Elena Calvo-Cidoncha, Concepción Camacho-Hernando, Faust Feu, Xavier Pastor-Duran, Carles Codina-Jané, Raimundo Lozano-Rubí
Demand sensing and digital tracking for maternal child health (MCH) in Uganda: a pilot study for ‘E+TRA health’
Dawei Wang, Rhoann Kerh, Sungbum Jun, Seokcheon Lee, Roy William Mayega, Julius Ssentongo, Andualem Oumer, Md Haque, Priyanka Brunese, Yuehwern Yih
Motive perception pathways to the release of personal information to healthcare organizations
Michaela Soellner, Joerg Koenigstorfer
Machine learning-based prediction model for late recurrence after surgery in patients with renal cell carcinoma
Hyung Min Kim, Seok-Soo Byun, Jung Kwon Kim, Chang Wook Jeong, Cheol Kwak, Eu Chang Hwang, Seok Ho Kang, Jinsoo Chung, Yong-June Kim, Yun-Sok Ha, Sung-Hoo Hong
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review
Md Zakir Hossain, Elena Daskalaki, Anne Brüstle, Jane Desborough, Christian J. Lueck, Hanna Suominen
Mitigating urinary incontinence condition using machine learning
Haneen Ali, Abdulaziz Ahmed, Carlos Olivos, Khaled Khamis, Jia Liu
A two-phase approach to re-calibrating expensive computer simulation for sex-specific colorectal neoplasia development modeling
Carolina Vivas-Valencia, You Zhou, Aditya Sai, Thomas F. Imperiale, Nan Kong
An ensemble learning with active sampling to predict the prognosis of postoperative non-small cell lung cancer patients
Danqing Hu, Huanyao Zhang, Shaolei Li, Huilong Duan, Nan Wu, Xudong Lu
Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management
Anna S. Levin, Maristela P. Freire, Maura Salaroli de Oliveira, Ana Catharina S. Nastri, Leila S. Harima, Lauro Vieira Perdigão-Neto, Marcello M. Magri, Gabriel Fialkovitz, Pedro H. M. F. Figueiredo, Rinaldo Focaccia Siciliano, Ester C. Sabino, Danilo P. N. Carlotti, Davi Silva Rodrigues, Fátima L. S. Nunes, João Eduardo Ferreira, Geraldo Busatto Filho, Eloisa Bonfá, Edivaldo Utiyama, Aluisio Segurado, Beatriz Perondi, Anna M. Morais, Amanda Montal, Solange Fusco, Marjorie Fregonesi, Marcelo Rocha, Izabel Marcilio, Izabel C. Rios, Fabiane, Y. O. Kawano, M. Amelia de Jesus, Esper G. Kallas, Carolina Marmo, Clarice Tanaka, Heraldo P. de Souza, Julio F. M. Marchini, Carlos Carvalho, Juliana C. Ferreira, Thais Guimaraes, Carolina S. Lazari, Alberto J. S. Duarte, M. Cristina Braido, P. B. Francisco, Silvia F. Costa
Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm
Belayneh Endalamaw Dejene, Tesfamariam M. Abuhay, Dawit Shibabaw Bogale
Concordance of three point of care testing devices with clinical chemistry laboratory standard assays and patient-reported outcomes of blood sampling methods
Z. Yonel, K. Kuningas, P. Sharma, M. Dutton, Z. Jalal, P. Cockwell, J. Webber, P. Narendran, T. Dietrich, I. L. C. Chapple
Satisfied or not satisfied? Electronic health records system implementation in Ghana: Health leaders’ perspective
Priscilla Y. A. Attafuah, Patience Aseweh Abor, Aaron Asibi Abuosi, Edward Nketiah-Amponsah, Immaculate Sabelile Tenza
Implementing Exercise = Medicine in routine clinical care; needs for an online tool and key decisions for implementation of Exercise = Medicine within two Dutch academic hospitals
Adrie Bouma, Femke van Nassau, Joske Nauta, Leonie Krops, Hidde van der Ploeg, Evert Verhagen, Lucas van der Woude, Helco van Keeken, Rienk Dekker, Willem van Mechelen, Vincent de Groot, Marike van der Leeden, Johannes Zwerver, Martin Fluit, Inge van den Akker-Scheek, Martin Stevens, Ronald Diercks, Willem Bossers, Laurien Buffart, Johan de Jong, Caroline Kampshoff, Hans Leutscher, Sacha van Twillert
A novel dynamic Bayesian network approach for data mining and survival data analysis
Ali Sheidaei, Abbas Rahimi Foroushani, Kimiya Gohari, Hojjat Zeraati
SPIKE: secure and private investigation of the kidney exchange problem
Timm Birka, Kay Hamacher, Tobias Kussel, Helen Möllering, Thomas Schneider
Evaluation of medical decision support systems (DDX generators) using real medical cases of varying complexity and origin
P. Fritz, A. Kleinhans, R. Raoufi, A. Sediqi, N. Schmid, S. Schricker, M. Schanz, C. Fritz-Kuisle, P. Dalquen, H. Firooz, G. Stauch, M. D. Alscher
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis
Emma Whitelock-Wainwright, Jia Wei Koh, Alexander Whitelock-Wainwright, Stella Talic, David Rankin, Dragan Gašević
Hellenic registry of patients with home mechanical ventilation (HR-HMV): profiling sleep Apnea–Hypopnea syndrome patients across Greece
Vlasios K. Dimitriadis, Christina Alexopoulou, Anastasia Amfilochiou, Paschalis Steiropoulos, Georgia Trakada, Dimitra Siopi, Athanasia Pataka, Elpis Hatziagorou, Athanasios Konstandinidis, Georgia Varsou, Anastasia Chasiotou, Anastasios Kallianos, Athanasios Gounidis, Eumorfia Kondili, Charikleia Tselepi, Georgia Chasapidou, Athanasios Voulgaris, Kalamaras George, Elissavet-Anna Chrysochou, Michalis Agrafiotis, Maria Antoniadou, Porpodis Konstantinos, John Tsanakas, Venetia Tsara, Pantelis Natsiavas
Prediction of successful aging using ensemble machine learning algorithms
Zahra Asghari Varzaneh, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Construction and validation of a revised satisfaction index model for the Chinese urban and rural resident-based basic medical insurance scheme
Wenwei Cheng, Shiwen Wang, Xiaofang Liu, Yanyan Wu, Jin Cheng, Weichu Sun, Xiaofang Yan, Qi Wang, Liai Peng, Xiaoli Liu, Tingting Sha, Jingcheng Shi, Fang Yang
Need for numbers: assessing cancer survivors’ needs for personalized and generic statistical information
Ruben D. Vromans, Saar Hommes, Felix J. Clouth, Deborah N. N. Lo-Fo-Wong, Xander A. A. M. Verbeek, Lonneke van de Poll-Franse, Steffen Pauws, Emiel Krahmer
Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary
Stephen P. Fortin, Jenna Reps, Patrick Ryan
Multi-dimensional relationships among dementia, depression and prescribed drugs in England and Wales hospitals
Alok Joshi, Stephen Todd, David P. Finn, Paula L. McClean, KongFatt Wong-Lin
Use of mobile phones for rehabilitative services among prosthetics users in rural Acholi sub-region of northern Uganda: findings from a qualitative study
Walter Onen Yagos, Geoffrey Tabo Olok, Emmanuel Ben Moro, Jonathan Huck, Mahesh Nirmalan
Investigating the role of health information technology in the control and management of Systemic Lupus Erythematosus (SLE): a systematic review
Khadijeh Moulaei, Elham Rajaei, Leila Ahmadian, Reza Khajouei
Understanding how and under what circumstances decision coaching works for people making healthcare decisions: a realist review
Junqiang Zhao, Janet Jull, Jeanette Finderup, Maureen Smith, Simone Maria Kienlin, Anne Christin Rahn, Sandra Dunn, Yumi Aoki, Leanne Brown, Gillian Harvey, Dawn Stacey
The 4P telehealth business framework for Iran
Farnia Velayati, Haleh Ayatollahi, Morteza Hemmat, Reza Dehghan
Exploration of biomedical knowledge for recurrent glioblastoma using natural language processing deep learning models
Bum-Sup Jang, Andrew J. Park, In Ah Kim
Assessing the added value of context during stress detection from wearable data
Marija Stojchevska, Bram Steenwinckel, Jonas Van Der Donckt, Mathias De Brouwer, Annelies Goris, Filip De Turck, Sofie Van Hoecke, Femke Ongenae
Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources
Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang
Monte Carlo cross-validation for a study with binary outcome and limited sample size
Guogen Shan
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records
Akhilesh Vyas, Fotis Aisopos, Maria-Esther Vidal, Peter Garrard, Georgios Paliouras
Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports
Nakeya Dewaswala, David Chen, Huzefa Bhopalwala, Vinod C. Kaggal, Sean P. Murphy, J. Martijn Bos, Jeffrey B. Geske, Bernard J. Gersh, Steve R. Ommen, Philip A. Araoz, Michael J. Ackerman, Adelaide M. Arruda-Olson
Accuracy of SCORTEN in predicting mortality in toxic epidermal necrolysis
Jerzy Strużyna, Agnieszka Surowiecka, Tomasz Korzeniowski, Patrycja Korulczyk, Lukasz Drozd, Aldona Stachura, Kamil Torres, Andrzej Krajewski
Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis
Allan Danilo de Lima, Agnaldo J. Lopes, Jorge Luis Machado do Amaral, Pedro Lopes de Melo
Identifying stroke diagnosis-related features from medical imaging reports to improve clinical decision-making support
Xiaowei Xu, Lu Qin, Lingling Ding, Chunjuan Wang, Meng Wang, Zixiao Li, Jiao Li
Dynamic prediction of life-threatening events for patients in intensive care unit
Jiang Hu, Xiao-hui Kang, Fang-fang Xu, Ke-zhi Huang, Bin Du, Li Weng
A novel signature model based on mitochondrial-related genes for predicting survival of colon adenocarcinoma
Hongli Gao, Fei Xing
Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage
Jianxiang Tang, Xiaoyu Wang, Hongli Wan, Chunying Lin, Zilun Shao, Yang Chang, Hexuan Wang, Yi Wu, Tao Zhang, Yu Du
Influencing mechanism of the use behavior of clinical practice guidelines on antimicrobials: evidence from the integration of theory of reasoned action and organizational readiness for change
Junbin Huang, Wenbin Liu, Yimin Huang
Evaluation of factors that influenced the length of hospital stay using data mining techniques
Mehrnoosh Eskandari, Amir Hossein Alizadeh Bahmani, Heydar Ali Mardani-Fard, Iman Karimzadeh, Navid Omidifar, Payam Peymani
Evaluating and rating HIV/AIDS mobile apps using the feature-based application rating method and mobile app rating scale
Ahmad Raeesi, Reza Khajouei, Leila Ahmadian
Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features
Anamul Haque, Doug Stubbs, Nina C. Hubig, Francis G. Spinale, William J. Richardson
Combined effects of cues influencing patients’ purchasing behavior in online health-care communities: qualitative comparative analysis based on cue utilization theory
Dixuan Ren, Baolong Ma
A novel deep learning-based method for COVID-19 pneumonia detection from CT images
Ju Luo, Yuhao Sun, Jingshu Chi, Xin Liao, Canxia Xu
Implementation of Coach McLungsSM into primary care using a cluster randomized stepped wedge trial design
Thomas Ludden, Katherine O’Hare, Lindsay Shade, Kelly Reeves, Charity G. Patterson, Hazel Tapp
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data
Young Chul Youn, Hye Ryoun Kim, Hae-Won Shin, Hae-Bong Jeong, Sang-Won Han, Jung-Min Pyun, Nayoung Ryoo, Young Ho Park, SangYun Kim
Requirements and challenges of hospital dashboards: a systematic literature review
Reza Rabiei, Sohrab Almasi
Machine learning methods to predict 30-day hospital readmission outcome among US adults with pneumonia: analysis of the national readmission database
Yinan Huang, Ashna Talwar, Ying Lin, Rajender R. Aparasu
A multicriteria decision analysis (MCDA) tool to purchase implantable medical devices in Egypt
Baher Elezbawy, Ahmad Nader Fasseeh, Bertalan Németh, Mary Gamal, Mariam Eldebeiky, Remonda Refaat, Amr Taha, Shimaa Rabiea, Marwa Abdallah, Soha Ramadan, Hasnaa Noaman, Amany Bahaa Eldin, Hossam Mostafa, Sara Nouh, Asmaa Zaki, Mohamed Abdelrahman, Sherif Abaza, Zoltàn Kalò
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks
Gavin T. Kress, Fion Chan, Claudia A. Garcia, Warren S. Merrifield
Effect of mobile-based self-management application on stroke outcomes: a study protocol for triple blinded randomized controlled trial
Hamidreza Tadayon, Mehrdad Farzandipour, Ehsan Nabovati, Hossein Akbari, Seyed Ali Masoud
Clinical decision support system for quality of life among the elderly: an approach using artificial neural network
Maryam Ahmadi, Raoof Nopour
Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network
Guodong Wei, Xinxin Di, Wenrui Zhang, Shijia Geng, Deyun Zhang, Kai Wang, Zhaoji Fu, Shenda Hong
Using provocative design to foster electronic informed consent innovation
Evelien De Sutter, Stef Verreydt, Koen Yskout, David Geerts, Pascal Borry, An Outtier, Marc Ferrante, Corinne Vandermeulen, Nele Vanmechelen, Bart Van der Schueren, Isabelle Huys
Detection of K-complexes in EEG waveform images using faster R-CNN and deep transfer learning
Natheer Khasawneh, Mohammad Fraiwan, Luay Fraiwan
Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging
Shih-Tien Hsu, Yu-Jie Su, Chian-Huei Hung, Ming-Jer Chen, Chien-Hsing Lu, Chih-En Kuo
Probabilistic linguistic fuzzy cognitive maps: applications to the critical factors affecting the health of rural older adults
Jian Wu, Yucheng Chen, Zengwen Wang, Guoheng Hu, Chen Chen
Clinician perceptions of a clinical decision support system to reduce cardiovascular risk among prediabetes patients in a predominantly rural healthcare system
Daniel M. Saman, Clayton I. Allen, Laura A. Freitag, Melissa L. Harry, JoAnn M. Sperl-Hillen, Jeanette Y. Ziegenfuss, Jacob L. Haapala, A. Lauren Crain, Jay R. Desai, Kris A. Ohnsorg, Patrick J. O’Connor
The association between video or telephone telemedicine visit type and orders in primary care
Nathan Juergens, Jie Huang, Anjali Gopalan, Emilie Muelly, Mary Reed
An imConvNet-based deep learning model for Chinese medical named entity recognition
Yuchen Zheng, Zhenggong Han, Yimin Cai, Xubo Duan, Jiangling Sun, Wei Yang, Haisong Huang
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods
Ali Ebrahimi, Uffe Kock Wiil, Amin Naemi, Marjan Mansourvar, Kjeld Andersen, Anette Søgaard Nielsen
Machine learning in a real-world PFO study: analysis of data from multi-centers in China
Dongling Luo, Ziyang Yang, Gangcheng Zhang, Qunshan Shen, Hongwei Zhang, Junxing Lai, Hui Hu, Jianxin He, Shulin Wu, Caojin Zhang
Comparison of classification algorithms for predicting autistic spectrum disorder using WEKA modeler
Siti Fairuz Mohd Radzi, Mohd Sayuti Hassan, Muhammad Abdul Hadi Mohd Radzi
Choice of intraoperative ultrasound adjuncts for brain tumor surgery
Manoj Kumar, Santosh Noronha, Narayan Rangaraj, Aliasgar Moiyadi, Prakash Shetty, Vikas Kumar Singh
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project
Renate Ranegger, Simon Haug, Janine Vetsch, Dieter Baumberger, Reto Bürgin
Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission
Aaron W. Sievering, Peter Wohlmuth, Nele Geßler, Melanie A. Gunawardene, Klaus Herrlinger, Berthold Bein, Dirk Arnold, Martin Bergmann, Lorenz Nowak, Christian Gloeckner, Ina Koch, Martin Bachmann, Christoph U. Herborn, Axel Stang
Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework
Zhai Yue, Yu Zhenghong, Qi Zhang, Wei Qin, Yang Chun, Yuxia Zhang
Drug closed-loop management system using mobile technology
Kunxuan Wei, Xuhua Xie, Tianmin Huang, Yiyu Chen, Hongliang Zhang, Taotao Liu, Jun Luo
Machine learning model identifies aggressive acute pancreatitis within 48 h of admission: a large retrospective study
Lei Yuan, Mengyao Ji, Shuo Wang, Xinyu Wen, Pingxiao Huang, Lei Shen, Jun Xu
Medication adherence prediction through temporal modelling in cardiovascular disease management
William Hsu, James R. Warren, Patricia J. Riddle
Electrocardiogram lead conversion from single-lead blindly-segmented signals
Sofia C. Beco, João Ribeiro Pinto, Jaime S. Cardoso
Named entity recognition of Chinese electronic medical records based on a hybrid neural network and medical MC-BERT
Peng Chen, Meng Zhang, Xiaosheng Yu, Songpu Li
Facial biotype classification for orthodontic treatment planning using an alternative learning algorithm for tree augmented Naive Bayes
Gonzalo A. Ruz, Pamela Araya-Díaz, Pablo A. Henríquez
Usability evaluation of mHealth apps for elderly individuals: a scoping review
Qiuyi Wang, Jing Liu, Lanshu Zhou, Jing Tian, Xuemei Chen, Wei Zhang, He Wang, Wanqiong Zhou, Yitian Gao
Moving toward a standardized diagnostic statement of pituitary adenoma using an information extraction model: a real-world study based on electronic medical records
Jingya Zhou, Xiaopeng Guo, Lian Duan, Yong Yao, Yafei Shang, Yi Wang, Bing Xing
Neural-signature methods for structured EHR prediction
Andre Vauvelle, Paidi Creed, Spiros Denaxas
Exploring facilitators of the implementation of electronic health records in Saudi Arabia
Haitham A. Alzghaibi, Hayley A. Hutchings
Validating the representation of distance between infarct diseases using word embedding
Daiki Yokokawa, Kazutaka Noda, Yasutaka Yanagita, Takanori Uehara, Yoshiyuki Ohira, Kiyoshi Shikino, Tomoko Tsukamoto, Masatomi Ikusaka
Patient-provider communication while using a clinical decision support tool: explaining satisfaction with shared decision making for mammography screening
Yan Liu, Rachel Kornfield, Ellie Fan Yang, Elizabeth Burnside, Jon Keevil, Dhavan V. Shah
Determining the readiness of patients with renal failure to use health information technology
Raana Younesi Tabas, Leila Ahmadian, Mahnaz Samadbeik, Anahita Arian, Arefeh Ameri
Classification of medicines and materials in hospital inventory management: a multi-criteria analysis
Amanda G. de Assis, Ana Flávia A. dos Santos, Lucas A. dos Santos, João F. da Costa, Marco Antonio L. Cabral, Ricardo P. de Souza
Determine knowledge and belief of Somalian young women about breast cancer and breast self-examination with champion health belief model: a cross-sectional study
Şeyma Zehra Altunkurek, Samira Hassan Mohamed
Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model
Mohammadhiwa Abdekhoda, Afsaneh Dehnad, Javad Zarei
A mobile app (IDoThis) for multiple sclerosis self-management: development and initial evaluation
Zeinab Salimzadeh, Shahla Damanabi, Reza Ferdousi, Sheida Shaafi, Leila R. Kalankesh
Deep learning based fetal distress detection from time frequency representation of cardiotocogram signal using Morse wavelet: research study
Yared Daniel Daydulo, Bheema Lingaiah Thamineni, Hanumesh Kumar Dasari, Genet Tadese Aboye
Development and pilot testing of a decision aid for navigating breast cancer survivorship care
Yu Ke, Ivy Cheng, Gretchen Ser Hua Tan, Rose Wai Yee Fok, Jack Junjie Chan, Kiley Wei-Jen Loh, Alexandre Chan
Patient allocation method in major epidemics under the situation of hierarchical diagnosis and treatment
Yong Ye, Lizhen Huang, Jie Wang, Yen-Ching Chuang, Lingle Pan
Exploring the effects of health information seeking on e-satisfaction in online health communities: an empirical investigation
Pei Wu, Runtong Zhang
The novel and powerful ICD-11 classification system for neoplasm coding: a comparative study with the ICD-O
Yicong Xu, Jingya Zhou, Yi Wang
On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature
Elisson da Silva Rocha, Flavio Leandro de Morais Melo, Maria Eduarda Ferro de Mello, Barbara Figueiroa, Vanderson Sampaio, Patricia Takako Endo
A FHIR has been lit on gICS: facilitating the standardised exchange of informed consent in a large network of university medicine
Martin Bialke, Lars Geidel, Christopher Hampf, Arne Blumentritt, Peter Penndorf, Ronny Schuldt, Frank-Michael Moser, Stefan Lang, Patrick Werner, Sebastian Stäubert, Hauke Hund, Fady Albashiti, Jürgen Gührer, Hans-Ulrich Prokosch, Thomas Bahls, Wolfgang Hoffmann
Discussion on machine learning technology to predict tacrolimus blood concentration in patients with nephrotic syndrome and membranous nephropathy in real-world settings
Weijia Yuan, Lin Sui, Haili Xin, Minchao Liu, Huayu Shi
Quantifying causal effects from observed data using quasi-intervention
Jinghua Yang, Yaping Wan, Qianxi Ni, Jianhong Zuo, Jin Wang, Xiapeng Zhang, Lifang Zhou
LiSA: an assisted literature search pipeline for detecting serious adverse drug events with deep learning
Vincent Martenot, Valentin Masdeu, Jean Cupe, Faustine Gehin, Margot Blanchon, Julien Dauriat, Alexander Horst, Michael Renaudin, Philippe Girard, Jean-Daniel Zucker
Measurement of provider fidelity to immunization guidelines: a mixed-methods study on the feasibility of documenting patient refusals of the human papillomavirus vaccine
Rachel S. Chang, Jaimie Z. Shing, Jennifer C. Erves, Liping Du, Tatsuki Koyama, Stephen Deppen, Alyssa B. Rentuza, Caree McAfee, Christine Stroebel, Janet Cates, Lora Harnack, David Andrews, Robert Bramblett, Pamela C. Hull
A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2
Alessio Bottrighi, Marzio Pennisi, Annalisa Roveta, Costanza Massarino, Antonella Cassinari, Marta Betti, Tatiana Bolgeo, Marinella Bertolotti, Emanuele Rava, Antonio Maconi
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods
Dawit S. Bogale, Tesfamariam M. Abuhay, Belayneh E. Dejene
Effectiveness of clinical decision support in controlling inappropriate red blood cell and platelet transfusions, speciality specific responses and behavioural change
Jolene Atia, Felicity Evison, Suzy Gallier, Sophie Pettler, Mark Garrick, Simon Ball, Will Lester, Suzanne Morton, Jamie Coleman, Tanya Pankhurst
Transferability and interpretability of the sepsis prediction models in the intensive care unit
Qiyu Chen, Ranran Li, ChihChe Lin, Chiming Lai, Dechang Chen, Hongping Qu, Yaling Huang, Wenlian Lu, Yaoqing Tang, Lei Li
A hybrid sampling algorithm combining synthetic minority over-sampling technique and edited nearest neighbor for missed abortion diagnosis
Fangyuan Yang, Kang Wang, Lisha Sun, Mengjiao Zhai, Jiejie Song, Hong Wang
Application of machine learning techniques for predicting survival in ovarian cancer
Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, Jamshid Bagherzadeh Mohasefi, Habibollah Pirnejad, Matin Bagherzadeh Mohasefi, Uffe Kock Wiil