Ausgabe 1/2023
Inhalt (288 Artikel)
Contribution of information about acute and geriatric characteristics to decisions about life-sustaining treatment for old patients in intensive care
Michael Beil, P. Vernon van Heerden, Dylan W. de Lange, Wojciech Szczeklik, Susannah Leaver, Bertrand Guidet, Hans Flaatten, Christian Jung, Sigal Sviri, Leo Joskowicz
Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data
Chethan Jujjavarapu, Pradeep Suri, Vikas Pejaver, Janna Friedly, Laura S. Gold, Eric Meier, Trevor Cohen, Sean D. Mooney, Patrick J. Heagerty, Jeffrey G. Jarvik
Stratifying non-small cell lung cancer patients using an inverse of the treatment decision rules: validation using electronic health records with application to an administrative database
Min-Hyung Kim, Sojung Park, Yu Rang Park, Wonjun Ji, Seul-Gi Kim, Minji Choo, Seung-Sik Hwang, Jae Cheol Lee, Hyeong Ryul Kim, Chang-Min Choi
Development of a real-world database for asthma and COPD: The SingHealth-Duke-NUS-GSK COPD and Asthma Real-World Evidence (SDG-CARE) collaboration
Sean Shao Wei Lam, Andrew Hao Sen Fang, Mariko Siyue Koh, Sumitra Shantakumar, See-Hwee Yeo, David Bruce Matchar, Marcus Eng Hock Ong, Ken Mei Ting Poon, Liming Huang, Sudha Harikrishan, Dominique Milea, Des Burke, Dave Webb, Narayanan Ragavendran, Ngiap Chuan Tan, Chian Min Loo
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital
G. T. Berge, O. C. Granmo, T. O. Tveit, B. E. Munkvold, A. L. Ruthjersen, J. Sharma
A parametric model to jointly characterize rate, duration, and severity of exacerbations in episodic diseases
Abdollah Safari, John Petkau, Mark J. FitzGerald, Mohsen Sadatsafavi
Ethics and governance of trustworthy medical artificial intelligence
Jie Zhang, Zong-ming Zhang
Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration
Hoda Abbasizanjani, Fatemeh Torabi, Stuart Bedston, Thomas Bolton, Gareth Davies, Spiros Denaxas, Rowena Griffiths, Laura Herbert, Sam Hollings, Spencer Keene, Kamlesh Khunti, Emily Lowthian, Jane Lyons, Mehrdad A. Mizani, John Nolan, Cathie Sudlow, Venexia Walker, William Whiteley, Angela Wood, Ashley Akbari
Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach
Shimels Derso Kebede, Yakub Sebastian, Abraham Yeneneh, Ashenafi Fentahun Chanie, Mequannent Sharew Melaku, Agmasie Damtew Walle
Evaluating the success of Iran Electronic Health Record System (SEPAS) based on the DeLone and McLean model: a cross-sectional descriptive study
Azadeh Bashiri, Mohammad Shirdeli, Fatemeh Niknam, Soheila Naderi, Sahar Zare
Machine learning based efficient prediction of positive cases of waterborne diseases
Mushtaq Hussain, Mehmet Akif Cifci, Tayyaba Sehar, Said Nabi, Omar Cheikhrouhou, Hasaan Maqsood, Muhammad Ibrahim, Fida Mohammad
The classification of flash visual evoked potential based on deep learning
Na Liang, Chengliang Wang, Shiying Li, Xin Xie, Jun Lin, Wen Zhong
Data management system for diabetes clinical trials: a pre-post evaluation study
Aynaz Nourani, Haleh Ayatollahi, Masoud Solaymani-Dodaran
Automatic medical specialty classification based on patients’ description of their symptoms
Chao Mao, Quanjing Zhu, Rong Chen, Weifeng Su
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
Soheila Saeedi, Sorayya Rezayi, Hamidreza Keshavarz, Sharareh R. Niakan Kalhori
Opportunities and challenges of virtual reality-based interventions for patients with breast cancer: a systematic review
Alireza Banaye Yazdipour, Soheila Saeedi, Hassan Bostan, Hoorie Masoorian, Hasan Sajjadi, Marjan Ghazisaeedi
Interoperability of heterogeneous health information systems: a systematic literature review
Amir Torab-Miandoab, Taha Samad-Soltani, Ahmadreza Jodati, Peyman Rezaei-Hachesu
Big data- and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study
Benjamin Lieberman, Jude Dzevela Kong, Roy Gusinow, Ali Asgary, Nicola Luigi Bragazzi, Joshua Choma, Salah-Eddine Dahbi, Kentaro Hayashi, Deepak Kar, Mary Kawonga, Mduduzi Mbada, Kgomotso Monnakgotla, James Orbinski, Xifeng Ruan, Finn Stevenson, Jianhong Wu, Bruce Mellado
Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach
Shaina Raza, Brian Schwartz
Comparing the effects of self- care education by lecture and smartphone application on self-efficacy of patients with thalassemia
Fahimeh Kharaman-nia, Habibolah Rezaei, Narges Roustaei, Peyman Etemadfar, Nazafarin Hosseini
Examining clinician choice to follow-up (or not) on automated notifications of medication non-adherence by clinical decision support systems
Dan Thorpe, Jörg Strobel, Niranjan Bidargaddi
Evaluating the usability of a cancer registry system using Cognitive Walkthrough, and assessing user agreement with its problems
Fatemeh Bagheri, Faezeh Abbasi, Mojtaba Sadeghi, Reza Khajouei
Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools
Quang Huy Nguyen, Damien K. Ming, An Phuoc Luu, Ho Quang Chanh, Dong Thi Hoai Tam, Nguyen Thanh Truong, Vo Xuan Huy, Bernard Hernandez, Jennifer Ilo Van Nuil, Chris Paton, Pantelis Georgiou, Nguyet Minh Nguyen, Alison Holmes, Phan Vinh Tho, Sophie Yacoub
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
Pontus Olsson de Capretz, Anders Björkelund, Jonas Björk, Mattias Ohlsson, Arash Mokhtari, Axel Nyström, Ulf Ekelund
Design, implementation, and evaluation of the computer-aided clinical decision support system based on learning-to-rank: collaboration between physicians and machine learning in the differential diagnosis process
Yasuhiko Miyachi, Osamu Ishii, Keijiro Torigoe
Factors influencing the implementation of decision support systems for antibiotic prescription in hospitals: a systematic review
Pinar Tokgöz, Jessica Hafner, Christoph Dockweiler
Deep learning approach to detection of colonoscopic information from unstructured reports
Donghyeong Seong, Yoon Ho Choi, Soo-Yong Shin, Byoung-Kee Yi
A multi-granular stacked regression for forecasting long-term demand in Emergency Departments
Charlotte James, Richard Wood, Rachel Denholm
Co-design and implementation of a mHealth intervention targeting fathers and mothers to improve breastfeeding
Kidane Tadesse Gebremariam, Afework Mulugeta, Danielle Gallegos
Development and perceived usability evaluation of an interactive smartphone application for the teaching of hemodynamics and evaluation of arterial pulse pressure variation
Orivaldo Alves Barbosa, Edgar Marçal, David Augusto Batista Sá Araújo, Lucas Severo Melo, Hermano Alexandre Lima Rocha
Research on outpatient capacity planning combining lean thinking and integer linear programming
Li hua, Mu Dongmei, Yang Xinyu, Zhang Xinyue, Wang Shutong, Wang Dongxuan, Peng Hao, Wang Ying
Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution
Yimin Cai, Yuqing Long, Zhenggong Han, Mingkun Liu, Yuchen Zheng, Wei Yang, Liming Chen
Subsequence and distant supervision based active learning for relation extraction of Chinese medical texts
Qi Ye, Tingting Cai, Xiang Ji, Tong Ruan, Hong Zheng
Analysis and identification of drug similarity through drug side effects and indications data
Amir Torab-Miandoab, Mehdi Poursheikh Asghari, Nastaran Hashemzadeh, Reza Ferdousi
Towards a clinically-based common coordinate framework for the human gut cell atlas: the gut models
Albert Burger, Richard A. Baldock, David J. Adams, Shahida Din, Irene Papatheodorou, Michael Glinka, Bill Hill, Derek Houghton, Mehran Sharghi, Michael Wicks, Mark J. Arends
Development of machine learning models for detection of vision threatening Behçet’s disease (BD) using Egyptian College of Rheumatology (ECR)–BD cohort
Nevin Hammam, Ali Bakhiet, Eiman Abd El-Latif, Iman I. El-Gazzar, Nermeen Samy, Rasha A. Abdel Noor, Emad El-Shebeiny, Amany R. El-Najjar, Nahla N. Eesa, Mohamed N. Salem, Soha E. Ibrahim, Dina F. El-Essawi, Ahmed M. Elsaman, Hanan M. Fathi, Rehab A. Sallam, Rawhya R. El Shereef, Faten Ismail, Mervat I. Abd-Elazeem, Emtethal A. Said, Noha M. Khalil, Dina Shahin, Hanan M. El-Saadany, Marwa ElKhalifa, Samah I. Nasef, Ahmed M. Abdalla, Nermeen Noshy, Rasha M. Fawzy, Ehab Saad, Abdelhafeez Moshrif, Amira T. El-Shanawany, Yousra H. Abdel-Fattah, Hossam M. Khalil, Osman Hammam, Aly Ahmed Fathy, Tamer A. Gheita
Public attitudes towards the use of novel technologies in their future healthcare: a UK survey
Sarah Sauchelli, Tim Pickles, Alexandra Voinescu, Heungjae Choi, Ben Sherlock, Jingjing Zhang, Steffi Colyer, Sabrina Grant, Sethu Sundari, Gemma Lasseter
The factors affecting implementing shared decision-making in clinical trials: a cross-sectional survey of clinical research coordinators’ perceptions in Japan
Miho Fujita, Yuki Yonekura, Kazuhiro Nakayama
Machine learning and network analysis for diagnosis and prediction in disorders of consciousness
Ajit Narayanan, Wendy L. Magee, Richard J. Siegert
Effects of a shared decision making intervention for older adults with multiple chronic conditions: the DICO study
Ruth E. Pel-Littel, Bianca M. Buurman, Marjolein H. van de Pol, Jos W. R. Twisk, Linda R. Tulner, Mirella M. Minkman, Wilma J. M. Scholte op Reimer, Julia C. M. van Weert
Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning
Chao Yu, Qikai Huang
Personalized hypertension treatment recommendations by a data-driven model
Yang Hu, Jasmine Huerta, Nicholas Cordella, Rebecca G. Mishuris, Ioannis Ch. Paschalidis
Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities
Mahboobeh (Mah) Parsapoor (Parsa), Muhammad Raisul Alam, Alex Mihailidis
Machine learning prediction for COVID-19 disease severity at hospital admission
Ganesh Raman, Bilal Ashraf, Yusuf Kemal Demir, Corey D. Kershaw, Sreekanth Cheruku, Murat Atis, Ahsen Atis, Mustafa Atar, Weina Chen, Ibrahim Ibrahim, Taha Bat, Mutlu Mete
Rapid response nursing triage outcomes for COVID-19: factors associated with patient’s participation in triage recommendations
Jyu-Lin Chen, Chen-Xi Lin, Mijung Park, Jerry John Nutor, Rosalind de Lisser, Thomas J. Hoffmann, Hannah J. Kim
Predictive algorithm for the regional spread of coronavirus infection across the Russian Federation
Andrey Reshetnikov, Vitalii Berdutin, Alexander Zaporozhtsev, Sergey Romanov, Olga Abaeva, Nadezhda Prisyazhnaya, Nadezhda Vyatkina
A study on predicting the length of hospital stay for Chinese patients with ischemic stroke based on the XGBoost algorithm
Rui Chen, Shengfa Zhang, Jie Li, Dongwei Guo, Weijun Zhang, Xiaoying Wang, Donghua Tian, Zhiyong Qu, Xiaohua Wang
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood
Ying Xing, Xuekai Liu, Juhua Dai, Xiaoxing Ge, Qingchen Wang, Ziyu Hu, Zhicheng Wu, Xuehui Zeng, Dan Xu, Chenxue Qu
Evaluating a clinical decision support point of care instrument in low resource setting
Geletaw Sahle Tegenaw, Demisew Amenu, Girum Ketema, Frank Verbeke, Jan Cornelis, Bart Jansen
A novel smartphone application for the tracking of procedural numbers and trainee experience in gastrointestinal endoscopy
Sergio Zepeda-Gómez, Andrea Dávila-Cervantes, Aldo J. Montaño-Loza, David Yang, Daniel C. Baumgart, Karen Kroeker, Brendan P. Halloran
Predicting postoperative gastric cancer prognosis based on inflammatory factors and machine learning technology
Cheng-Mao Zhou, Ying Wang, Jian-Jun Yang, Yu Zhu
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study
Mohammad Reza Afrash, Esmat Mirbagheri, Mehrnaz Mashoufi, Hadi Kazemi-Arpanahi
Similarity matching of medical question based on Siamese network
Qing Li, Song He
Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study
Ji Hoon Kim, Bomgyeol Kim, Min Joung Kim, Heejung Hyun, Hyeon Chang Kim, Hyuk-Jae Chang
Developing and testing the usability, acceptability, and future implementation of the Whole Day Matters Tool and User Guide for primary care providers using think-aloud, near-live, and interview procedures
Tamara L. Morgan, Jensen Pletch, Emma Faught, Michelle S. Fortier, Mary Kate Gazendam, Kelly Howse, Rahul Jain, Kirstin N. Lane, Kaleigh Maclaren, Taylor McFadden, Jeanette C. Prorok, Zachary J. Weston, Jennifer R. Tomasone
A deep neural network framework to derive interpretable decision rules for accurate traumatic brain injury identification of infants
Baiming Zou, Xinlei Mi, Elizabeth Stone, Fei Zou
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning
Xiaoya Lu, Hang Qiu
Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System
Omid Mehrpour, Farhad Saeedi, Samaneh Nakhaee, Farbod Tavakkoli Khomeini, Ali Hadianfar, Alireza Amirabadizadeh, Christopher Hoyte
Development of an integrated and comprehensive clinical trial process management system
Liang Shen, You Zhai, AXiang Pan, Qingwei Zhao, Min Zhou, Jian Liu
Health insurance fraud detection by using an attributed heterogeneous information network with a hierarchical attention mechanism
Jiangtao Lu, Kaibiao Lin, Ruicong Chen, Min Lin, Xin Chen, Ping Lu
Decision curve analysis confirms higher clinical utility of multi-domain versus single-domain prediction models in patients with open abdomen treatment for peritonitis
Markus Huber, Patrick Schober, Sven Petersen, Markus M. Luedi
Accurate breast cancer diagnosis using a stable feature ranking algorithm
Shaode Yu, Mingxue Jin, Tianhang Wen, Linlin Zhao, Xuechao Zou, Xiaokun Liang, Yaoqin Xie, Wanlong Pan, Chenghao Piao
Development and user testing of a patient decision aid for cancer patients considering treatment for anxiety or depression
Rebecca Rayner, Joanne Shaw, Caroline Hunt
Exploring patient perspectives on the secondary use of their personal health information: an interview study
Rosie Dobson, Helen Wihongi, Robyn Whittaker
Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality
D. I. Andonov, B. Ulm, M. Graessner, A. Podtschaske, M. Blobner, B. Jungwirth, S. M. Kagerbauer
A comprehensive framework to estimate the frequency, duration, and risk factors for diagnostic delays using bootstrapping-based simulation methods
Aaron C Miller, Joseph E Cavanaugh, Alan T Arakkal, Scott H Koeneman, Philip M Polgreen
Identification and validation of cuproptosis related genes and signature markers in bronchopulmonary dysplasia disease using bioinformatics analysis and machine learning
Mingxuan Jia, Jieyi Li, Jingying Zhang, Ningjing Wei, Yating Yin, Hui Chen, Shixing Yan, Yong Wang
Machine learning prediction of mortality in Acute Myocardial Infarction
Mariana Oliveira, Joana Seringa, Fausto José Pinto, Roberto Henriques, Teresa Magalhães
Development and validation of a nomogram for blood transfusion during intracranial aneurysm clamping surgery: a retrospective analysis
Shugen Xiao, Fan Liu, Liyuan Yu, Xiaopei Li, Xihong Ye, Xingrui Gong
Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region
Kamran Mehrabani-Zeinabad, Awat Feizi, Masoumeh Sadeghi, Hamidreza Roohafza, Mohammad Talaei, Nizal Sarrafzadegan
The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions
Aurelia Sauerbrei, Angeliki Kerasidou, Federica Lucivero, Nina Hallowell
The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model
Xuhai Zhao, Cong Jiang
Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia, 2022
Daniel Niguse Mamo, Tesfahun Melese Yilma, Makida Fekadie, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku, Agmasie Damtew Walle
The fudan tinnitus relieving system application for tinnitus management
Dongmei Tang, Haiyan Wang, Dantong Gu, Lei Ye, Shan Sun, Huawei Li
Pregnant women’s use and attitude toward Mobile phone features for self-management
Ehsan Nabovati, Mehrdad Farzandipour, Zahra Vahedpoor, Hossein Akbari, Shima Anvari, Reihane Sharif, Farhad Fatehi
An early detection and segmentation of Brain Tumor using Deep Neural Network
Mukul Aggarwal, Amod Kumar Tiwari, M Partha Sarathi, Anchit Bijalwan
SIAP: an intelligent algorithm for multiple prescription pattern recognition based on weighted similarity distances
Yifei Wang, Julia Xu, Jie Zhang, Hong Xu, Yuzhong Sun, Yuan Miao, Tiancai Wen
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory
Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
A dosing strategy model of deep deterministic policy gradient algorithm for sepsis patients
Tianlai Lin, Xinjue Zhang, Jianbing Gong, Rundong Tan, Weiming Li, Lijun Wang, Yingxia Pan, Xiang Xu, Junhui Gao
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model
Yating Zhong, Yuzhong Peng, Yanmei Lin, Dingjia Chen, Hao Zhang, Wen Zheng, Yuanyuan Chen, Changliang Wu
The development and phase 1 evaluation of a Decision Aid for elective egg freezing
Sherine Sandhu, Martha Hickey, Raelia Lew, Karin Hammarberg, Sabine Braat, Franca Agresta, Anna Parle, Catherine Allingham, William Ledger, Jane Fisher, Louise Johnson, Janet Michelmore, Fiona Summers, Roger Hart, Robert J Norman, Devora Lieberman, Richard A Anderson, Michelle Peate
Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms
Maryam Seyedtabib, Naser Kamyari
De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation
Rudolf N. Cardinal, Anna Moore, Martin Burchell, Jonathan R. Lewis
Ontology-driven and weakly supervised rare disease identification from clinical notes
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu
A drug recommender system for the treatment of hypertension
Arthur Mai, Karen Voigt, Jeannine Schübel, Felix Gräßer
Development and usability evaluation of an electronic health report form to assess health in young people: a mixed-methods approach
Petra V Lostelius, Magdalena Mattebo, Eva Thors Adolfsson, Anne Söderlund, Mikael Andersén, Sofia Vadlin, Åsa Revenäs
2.5D MFFAU-Net: a convolutional neural network for kidney segmentation
Peng Sun, Zengnan Mo, Fangrong Hu, Xin Song, Taiping Mo, Bonan Yu, Yewei Zhang, Zhencheng Chen
Confidence-based laboratory test reduction recommendation algorithm
Tongtong Huang, Linda T. Li, Elmer V. Bernstam, Xiaoqian Jiang
FAIRness through automation: development of an automated medical data integration infrastructure for FAIR health data in a maximum care university hospital
Marcel Parciak, Markus Suhr, Christian Schmidt, Caroline Bönisch, Benjamin Löhnhardt, Dorothea Kesztyüs, Tibor Kesztyüs
The tragic paradoxical effect of telemedicine on healthcare disparities- a time for redemption: a narrative review
Motti Haimi
An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy
Wenna Chen, Yixing Wang, Yuhao Ren, Hongwei Jiang, Ganqin Du, Jincan Zhang, Jinghua Li
Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care
Pieter Van Bostraeten, Bert Aertgeerts, Geertruida Bekkering, Nicolas Delvaux, Anna Haers, Matisse Vanheeswyck, Alexander Vandekendelaere, Niels Van der Auwera, Charlotte Dijckmans, Elise Ostyn, Willem Soontjens, Wout Matthysen, Noémie Schenk, Lien Mertens, Jasmien Jaeken, Thomas Agoritsas, Mieke Vermandere
Classification of imbalanced data using machine learning algorithms to predict the risk of renal graft failures in Ethiopia
Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Leja Hamza Juhar, Mahteme Bekele Muleta
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning
Dejia Zhou, Hang Qiu, Liya Wang, Minghui Shen
Digital communication and virtual reality for extending the behavioural treatment of obesity – the patients’ perspective: results of an online survey in Germany
Claudia Luck-Sikorski, Regine Hochrein, Nina Döllinger, Carolin Wienrich, Kathrin Gemesi, Sophie Holzmann, Christina Holzapfel, Natascha-Alexandra Weinberger
Exploring sex disparities in cardiovascular disease risk factors using principal component analysis and latent class analysis techniques
Gamal Saad Mohamed Khamis, Sultan Munadi Alanazi
Using a decision tree algorithm to distinguish between repeated supra-therapeutic and acute acetaminophen exposures
Omid Mehrpour, Christopher Hoyte, Samaneh Nakhaee, Bruno Megarbane, Foster Goss
Developing a mobile health application for wound telemonitoring: a pilot study on abdominal surgeries post-discharge care
Tayebeh Baniasadi, Mehdi Hassaniazad, Sharareh Rostam Niakan Kalhori, Mehraban Shahi, Marjan Ghazisaeedi
Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach
Xiaoquan Gao, Sabriya Alam, Pengyi Shi, Franklin Dexter, Nan Kong
Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study
Jatin Goyal, Ding Quan Ng, Kevin Zhang, Alexandre Chan, Joyce Lee, Kai Zheng, Keri Hurley-Kim, Lee Nguyen, Lu He, Megan Nguyen, Sarah McBane, Wei Li, Christine Luu Cadiz
Development and usability evaluation of a mHealth application for albinism self-management
Saman Mortezaei, Reza Rabiei, Farkhondeh Asadi, Hassan Emami
Construction of the XGBoost model for early lung cancer prediction based on metabolic indices
Xiuliang Guan, Yue Du, Rufei Ma, Nan Teng, Shu Ou, Hui Zhao, Xiaofeng Li
Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients
Koen Welvaars, Michel P. J. van den Bekerom, Job N. Doornberg, Ernst P. van Haarst, J. A. van der Zee, G. A. van Andel, B. W. Lagerveld, M. C. Hovius, P. C. Kauer, L. M. S. Boevé
Correction to: 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
Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine
Ashwini Venkatasubramaniam, Bilal A. Mateen, Beverley M. Shields, Andrew T. Hattersley, Angus G. Jones, Sebastian J. Vollmer, John M. Dennis
Development and analysis of quality assessment tools for different types of patient information – websites, decision aids, question prompt lists, and videos
Lena Josfeld, Jutta Huebner
Correction to: Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms
Maryam Seyedtabib, Naser Kamyari
Design and implementation of a web-based, respondent-driven sampling solution
Catherine R. McGowan, Promise Ekoriko, Mervat Alhaffar, Sarah Cassidy-Seyoum, Steven Whitbread, Phil Rogers, Lucy Bell, Francesco Checchi
Getting specific: participation preference in urooncological decision-making
Björn Büdenbender, Anja K. Köther, Maximilian C. Kriegmair, Britta Grüne, Maurice S. Michel, Georg W. Alpers
Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing
Jianfeng Yu, Kai Qiu, Pengju Wang, Caixia Su, Yufeng Fan, Yongfeng Cao
Integrated personal health record (PHR) security: requirements and mechanisms
Azamossadat Hosseini, Hassan Emami, Yousef Sadat, Somayeh Paydar
Forecasting the daily demand for emergency medical ambulances in England and Wales: a benchmark model and external validation
Thomas Monks, Alison Harper, Michael Allen, Lucy Collins, Andrew Mayne
How can social robot use cases in healthcare be pushed - with an interoperable programming interface
Robin Glauser, Jürgen Holm, Matthias Bender, Thomas Bürkle
Development of a novel drug information provision system for Kampo medicine using natural language processing technology
Ayako Maeda-Minami, Tetsuhiro Yoshino, Tetsuro Yumoto, Kayoko Sato, Atsunobu Sagara, Kenjiro Inaba, Hidenori Kominato, Takao Kimura, Tetsuya Takishita, Gen Watanabe, Tomonori Nakamura, Yasunari Mano, Yuko Horiba, Kenji Watanabe, Junzo Kamei
Prognostic models for breast cancer: based on logistics regression and Hybrid Bayesian Network
Fan Su, Jianqian Chao, Pei Liu, Bowen Zhang, Na Zhang, Zongyu Luo, Jiaying Han
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records
Daniel Riskin, Roger Cady, Anand Shroff, Nada A. Hindiyeh, Timothy Smith, Steven Kymes
Deep learning for histopathological segmentation of smooth muscle in the urinary bladder
Sridevi K. Subramanya, Rui Li, Ying Wang, Hiroshi Miyamoto, Feng Cui
Designing and evaluating the children’s developmental motor disorders system: an experience from a developing country
Elahe Gozali, Reza Safdari, Bahlol Rahimi, Marjan Ghazisaeedi, Hamidreza Farrokh-Eslamlou, Malihe Sadeghi
Machine learning applications for early detection of esophageal cancer: a systematic review
Farhang Hosseini, Farkhondeh Asadi, Hassan Emami, Mahdi Ebnali
Development and validation of prediction model for overall survival in patients with lymphoma: a prospective cohort study in China
Xiaosheng Li, Yue Chen, Anlong Sun, Ying Wang, Yao Liu, Haike Lei
RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records
Jie Cai, Shenglin Chen, Siyun Guo, Suidong Wang, Lintong Li, Xiaotong Liu, Keming Zheng, Yudong Liu, Shiling Chen
Liver function test indices-based prediction model for post-stroke depression: a multicenter, retrospective study
Jun Gong, Yalian Zhang, Xiaogang Zhong, Yi Zhang, Yanhua Chen, Huilai Wang
A mobile health application for patients eligible for statin therapy: app development and qualitative feedback on design and usability
Weidan Cao, Lang Li, Puneet Mathur, John Thompson, M. Wesley Milks
Machine learning-based mortality prediction models for smoker COVID-19 patients
Ali Sharifi-Kia, Azin Nahvijou, Abbas Sheikhtaheri
An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application
Mahdi Shaeri, Nasser Shoeibi, Seyedeh Maryam Hosseini, Fatemeh Rangraze Jeddi, Razieh Farrahi, Ehsan Nabovati, Azam Salehzadeh
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework
Yan Chu, Kaichen Tang, Yu-Chun Hsu, Tongtong Huang, Dulin Wang, Wentao Li, Sean I. Savitz, Xiaoqian Jiang, Shayan Shams
Quality indices for topic model selection and evaluation: a literature review and case study
Christopher Meaney, Therese A. Stukel, Peter C. Austin, Rahim Moineddin, Michelle Greiver, Michael Escobar
Short-term prognostic models for severe acute kidney injury patients receiving prolonged intermittent renal replacement therapy based on machine learning
Wenqian Wei, Zhefei Cai, Lei Chen, Weijie Yuan, Yingle Fan, Shu Rong
Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population
Zihao Fan, Zhi Du, Jinrong Fu, Ying Zhou, Pengyu Zhang, Chuning Shi, Yingxian Sun
Shared decision-making in physiotherapy: a cross-sectional study of patient involvement factors and issues in Japan
Tatsuya Ogawa, Shuhei Fujimoto, Kyohei Omon, Tomoya Ishigaki, Shu Morioka
Chinese medical entity recognition based on the dual-branch TENER model
Hui Peng, Zhichang Zhang, Dan Liu, Xiaohui Qin
XGBoost-SHAP-based interpretable diagnostic framework for alzheimer’s disease
Fuliang Yi, Hui Yang, Durong Chen, Yao Qin, Hongjuan Han, Jing Cui, Wenlin Bai, Yifei Ma, Rong Zhang, Hongmei Yu
The accuracy of artificial intelligence used for non-melanoma skin cancer diagnoses: a meta-analysis
Kuang Ming Kuo, Paul C. Talley, Chao-Sheng Chang
Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm
Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, Prazna Paramitha Avi, Samuel Benedict Putra Teguh, Ade Iriani Sapitri, Bambang Tutuko, Firdaus Firdaus
Using the sociotechnical model to conduct a focused usability assessment of a breast reconstruction decision tool
Randi Foraker, Crystal Phommasathit, Kaleigh Clevenger, Clara Lee, Jessica Boateng, Napiera Shareef, Mary C. Politi
Descriptive forest: experiments on a novel tree-structure-generalization method for describing cardiovascular diseases
Peera Liewlom
Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis
Jue Wang, Ming Jing Yin, Han Chun Wen
Requirements analysis for an AI-based clinical decision support system for general practitioners: a user-centered design process
Dania Schütze, Svea Holtz, Michaela C. Neff, Susanne M. Köhler, Jannik Schaaf, Lena S. Frischen, Brita Sedlmayr, Beate S. Müller
Design and evaluation of a Mobile-Based decision support system to enhance lung transplant candidate assessment and management: knowledge translation integrated with clinical workflow
Hamidreza Abtahi, Leila Shahmoradi, Shahideh Amini, Marsa Gholamzadeh
Study on risk factors of diabetic peripheral neuropathy and establishment of a prediction model by machine learning
Xiaoyang Lian, Juanzhi Qi, Mengqian Yuan, Xiaojie Li, Ming Wang, Gang Li, Tao Yang, Jingchen Zhong
Committee experiences of using formal consensus in healthcare guidelines: a longitudinal qualitative study
V Roberts, Patrice Carter, P Barnett, MA Mugglestone, S Pilling
Predicting delayed methotrexate elimination in pediatric acute lymphoblastic leukemia patients: an innovative web-based machine learning tool developed through a multicenter, retrospective analysis
Chang Jian, Siqi Chen, Zhuangcheng Wang, Yang Zhou, Yang Zhang, Ziyu Li, Jie Jian, Tingting Wang, Tianyu Xiang, Xiao Wang, Yuntao Jia, Huilai Wang, Jun Gong
Leveraging web-based prediction calculators to set patient expectations for elective spine surgery: a qualitative study to inform implementation
Trevor A. Lentz, Byron F. Stephens, Amir M. Abtahi, Jacob Schwarz, Andrew J. Schoenfeld, Bethany A. Rhoten, Shannon Block, Alex O’Brien, Kristin R. Archer
Acceptance of a digital therapy recommender system for psoriasis
Lisa Graf, Falko Tesch, Felix Gräßer, Lorenz Harst, Doreen Siegels, Jochen Schmitt, Susanne Abraham
Development and validation of predictive models for unplanned hospitalization in the Basque Country: analyzing the variability of non-deterministic algorithms
Alexander Olza, Eduardo Millán, María Xosé Rodríguez-Álvarez
An ontology-based approach for modelling and querying Alzheimer’s disease data
Francesco Taglino, Fabio Cumbo, Giulia Antognoli, Ivan Arisi, Mara D’Onofrio, Federico Perazzoni, Roger Voyat, Giulia Fiscon, Federica Conte, Marco Canevelli, Giuseppe Bruno, Patrizia Mecocci, Paola Bertolazzi
The protocol of DECO-MOM: a clinical trial testing the effectiveness of a mobile application for an environmental health intervention among pregnant women
Hyun Kyoung Kim
The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis
Yu Xin, Hongxu Li, Yuxin Zhou, Qing Yang, Wenjing Mu, Han Xiao, Zipeng Zhuo, Hongyu Liu, Hongying Wang, Xutong Qu, Changsong Wang, Haitao Liu, Kaijiang Yu
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China
Ying Shi, Guangming Zhang, Chiye Ma, Jiading Xu, Kejia Xu, Wenyi Zhang, Jianren Wu, Liling Xu
Discrepancy between perceptions and acceptance of clinical decision support Systems: implementation of artificial intelligence for vancomycin dosing
Xinyan Liu, Erin F. Barreto, Yue Dong, Chang Liu, Xiaolan Gao, Mohammad Samie Tootooni, Xuan Song, Kianoush B. Kashani
Perceptions of chief clinical information officers on the state of electronic health records systems interoperability in NHS England: a qualitative interview study
Edmond Li, Olivia Lounsbury, Jonathan Clarke, Hutan Ashrafian, Ara Darzi, Ana Luisa Neves
Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease
Shih-Ming Hsiao, Mei-Chuan Kuo, Pei-Ni Hsiao, Sin-Hua Moi, Yi-Wen Chiu, Shu-Li Wang, Tzu-Hui Chen, Lan-Fang Kung, Shang-Jyh Hwang, Chia-Lun Lee
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis
Keming Lu, Yuanren Tong, Si Yu, Yucong Lin, Yingyun Yang, Hui Xu, Yue Li, Sheng Yu
The quality of German - language patient decision aids for oncological patients on the internet
Julia Möller, Lena Josfeld, Christian Keinki, Nathalie Zieglowski, Jens Büntzel, Jutta Hübner
Shared decision making for anticoagulation reduces anxiety and improves adherence in patients with atrial fibrillation
Hsiao-Hui Chiu, Shih-Lin Chang, Hao-Min Cheng, Tze-Fan Chao, Yenn-Jiang Lin, Li-Wei Lo, Yu-Feng Hu, Fa-Po Chung, Jo-Nan Liao, Ta-Chuan Tuan, Chin-Yu Lin, Ting-Yung Chang, Ling Kuo, Chih-Min Liu, Yung-Nan Tsai, Yu-Ting Huang, Yuh-Lih Chang, Ju-Chieh Wung, Shih-Ann Chen
Implementing shared decision-making interventions in breast cancer clinical practice: a scoping review
Natalia Oprea, Vittoria Ardito, Oriana Ciani
Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarction
Xuewen Li, Chengming Shang, Changyan Xu, Yiting Wang, Jiancheng Xu, Qi Zhou
Anomaly prediction of CT equipment based on IoMT data
Changxi Wang, Qilin Liu, Haopeng Zhou, Tong Wu, Haowen Liu, Jin Huang, Yixuan Zhuo, Zhenlin Li, Kang Li
Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach
Elahe Mousavi, Ammar Hasanzadeh Keshteli, Mohammadreza Sehhati, Ahmad Vaez, Peyman Adibi
Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study
Emma L. Twait, Constanza L. Andaur Navarro, Vilmunur Gudnason, Yi-Han Hu, Lenore J. Launer, Mirjam I. Geerlings
Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment
Fu-qiang Ma, Cong He, Hao-ran Yang, Zuo-wei Hu, He-rong Mao, Cun-yu Fan, Yu Qi, Ji-xian Zhang, Bo Xu
Updating mortality risk estimation in intensive care units from high-dimensional electronic health records with incomplete data
Bertrand Bouvarel, Fabrice Carrat, Nathanael Lapidus
Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy
Daonan Chen, Rui Wang, Yihan Jiang, Zijian Xing, Qiuyang Sheng, Xiaoqing Liu, Ruilan Wang, Hui Xie, Lina Zhao
The effect of capacity building evidence-based medicine training on its implementation among healthcare professionals in Southwest Ethiopia: a controlled quasi-experimental outcome evaluation
Habtamu Setegn Ngusie, Mohammadjud Hasen Ahmed, Shegaw Anagaw Mengiste, Mihretu M. Kebede, Shuayib Shemsu, Shuma Gosha Kanfie, Sisay Yitayih Kassie, Mulugeta Hayelom Kalayou, Monika Knudsen Gullslett
Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study
Yufei Lu, Yichun Ning, Yang Li, Bowen Zhu, Jian Zhang, Yan Yang, Weize Chen, Zhixin Yan, Annan Chen, Bo Shen, Yi Fang, Dong Wang, Nana Song, Xiaoqiang Ding
Artificial intelligence for non-mass breast lesions detection and classification on ultrasound images: a comparative study
Guoqiu Li, Hongtian Tian, Huaiyu Wu, Zhibin Huang, Keen Yang, Jian Li, Yuwei Luo, Siyuan Shi, Chen Cui, Jinfeng Xu, Fajin Dong
A WeChat applet-based national remote emergency system for malignant hyperthermia in China: a usability study
Hong Yu, Lingcan Tan, Tao Zhu, Xiaoqian Deng
Barriers and facilitators of using health information technologies by women: a scoping review
Khadijeh Moulaei, Reza Moulaei, Kambiz Bahaadinbeigy
Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality
Noha El Yaman, Jad Zeitoun, Rawan Diab, Mohamad Mdaihly, Razan Diab, Lynn Kobeissi, Salwa Abou Ljoud, Jumana Antoun, Marco Bardus
Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm
Anjolaoluwa Ayomide Popoola, Jennifer Koren Frediani, Terryl Johnson Hartman, Kamran Paynabar
Body landmarks and genetic algorithm-based approach for non-contact detection of head forward posture among Chinese adolescents: revitalizing machine learning in medicine
Guang Yang, Shichun He, Deyu Meng, Meiqi Wei, Jianwei Cao, Hongzhi Guo, He Ren, Ziheng Wang
Fat mass: a novel digital biomarker for remote monitoring that may indicate risk for malnutrition and new complications in decompensated cirrhosis
K. Gananandan, V. Thomas, W. L. Woo, R. Boddu, R. Kumar, M. Raja, A. Balaji, K. Kazankov, R. P. Mookerjee
Application of a practice-based approach in variable selection for a prediction model development study of hospital-induced delirium
Urszula A. Snigurska, Sarah E. Ser, Laurence M. Solberg, Mattia Prosperi, Tanja Magoc, Zhaoyi Chen, Jiang Bian, Ragnhildur I. Bjarnadottir, Robert J. Lucero
Telemedicine-assisted structured self-monitoring of blood glucose in management of T2DM results of a randomized clinical trial
Chen-Yu Han, Jian Zhang, Xiao-Mei Ye, Jia-Ping Lu, Hai-Ying Jin, Wei-Wei Xu, Ping Wang, Min Zhang
Leveraging electronic medical records for HIV testing, care, and treatment programming in Kenya—the national data warehouse project
Margaret Ndisha, Amin S. Hassan, Faith Ngari, Evans Munene, Mary Gikura, Koske Kimutai, Kennedy Muthoka, Lisa Amai Murie, Herman Tolentino, Jacob Odhiambo, Pascal Mwele, Lydia Odero, Kate Mbaire, Gonza Omoro, Davies O. Kimanga
A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III
Qiong Gu, Shucong Yang, DanTing Fei, Yuting Lu, Huijie Yu
A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit
Jinhu Zhuang, Haofan Huang, Song Jiang, Jianwen Liang, Yong Liu, Xiaxia Yu
The coming Omicron waves and factors affecting its spread after China reopening borders
Jixiao Wang, Chong Wang
The Infomóvel—An information system for managing HIV/AIDS patients in rural areas of Mozambique
E. Karajeanes, D. Bila, M. Luis, M. Tovela, C. Anjos, N. Ramanlal, P. Vaz, L. V. Lapão
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records
Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Anna Linda Ruthjersen, Jivitesh Sharma
Acquisition of temporal patterns from electronic health records: an application to multimorbid patients
Alicia Ageno, Neus Català, Marcel Pons
SelANet: decision-assisting selective sleep apnea detection based on confidence score
Beomjun Bark, Borum Nam, In Young Kim
Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models
Chenai Mlandu, Zvifadzo Matsena-Zingoni, Eustasius Musenge
CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images
Yousef Gheibi, Kimia Shirini, Seyed Naser Razavi, Mehdi Farhoudi, Taha Samad-Soltani
Digital health literacy and digital engagement for people with severe mental ill health across the course of the COVID-19 pandemic in England
P Spanakis, B Lorimer, E Newbronner, R Wadman, S Crosland, S Gilbody, G Johnston, L. Walker, E Peckham
A self-management app to improve asthma control in adults with limited health literacy: a mixed-method feasibility study
Hani Salim, Ai Theng Cheong, Sazlina Sharif-Ghazali, Ping Yein Lee, Poh Ying Lim, Ee Ming Khoo, Norita Hussein, Noor Harzana Harrun, Bee Kiau Ho, Hilary Pinnock
Memory rehabilitation during the COVID-19 pandemic
José Luis Varela-Aldás, Jorge Buele, Doris Pérez, Guillermo Palacios-Navarro
Procedure code overutilization detection from healthcare claims using unsupervised deep learning methods
Michael Suesserman, Samantha Gorny, Daniel Lasaga, John Helms, Dan Olson, Edward Bowen, Sanmitra Bhattacharya
Machine learning prediction models for different stages of non-small cell lung cancer based on tongue and tumor marker: a pilot study
Yulin Shi, Hao Wang, Xinghua Yao, Jun Li, Jiayi Liu, Yuan Chen, Lingshuang Liu, Jiatuo Xu
Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles
Jonathan Wermelinger, Qendresa Parduzi, Murat Sariyar, Andreas Raabe, Ulf C. Schneider, Kathleen Seidel
Design and development of a mobile-based self-care application for patients with depression and anxiety disorders
Khadijeh Moulaei, Kambiz Bahaadinbeigy, Esmat Mashoof, Fatemeh Dinari
Development of a machine learning-based acuity score prediction model for virtual care settings
Justin N. Hall, Ron Galaev, Marina Gavrilov, Shawn Mondoux
Smartphone-based application to control and prevent overweight and obesity in children: design and evaluation
Zahra Zare, Elmira Hajizadeh, Maryam Mahmoodi, Reza Nazari, Leila Shahmoradi, Sorayya Rezayi
Development and validation of a case definition for problematic menopause in primary care electronic medical records
Anh N.Q. Pham, Michael Cummings, Nese Yuksel, Beate Sydora, Tyler Williamson, Stephanie Garies, Russell Pilling, Cliff Lindeman, Sue Ross
Extracting the latent needs of dementia patients and caregivers from transcribed interviews in japanese: an initial assessment of the availability of morpheme selection as input data with Z-scores in machine learning
Nanae Tanemura, Tsuyoshi Sasaki, Ryotaro Miyamoto, Jin Watanabe, Michihiro Araki, Junko Sato, Tsuyoshi Chiba
Research on the doctors’ win in crowdsourcing competitions: perspectives on service content and competitive environment
Xiuxiu Zhou, Shanshan Guo, Hong Wu
Prostate cancer detection using e-nose and AI for high probability assessment
J. B. Talens, J. Pelegri-Sebastia, T. Sogorb, J. L. Ruiz
On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry
Anna Bakidou, Eva-Corina Caragounis, Magnus Andersson Hagiwara, Anders Jonsson, Bengt Arne Sjöqvist, Stefan Candefjord
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy
Amir Kamel Rahimi, Moji Ghadimi, Anton H. van der Vegt, Oliver J. Canfell, Jason D. Pole, Clair Sullivan, Sally Shrapnel
Associations between blood pressure control and clinical events suggestive of nutrition care documented in electronic health records of patients with hypertension
April R. Williams, Maria D. Thomson, Erin L. Britton
Development of a knowledge-based healthcare-associated infections surveillance system in China
Yu Cao, Yaojun Niu, Xuetao Tian, DeZhong Peng, Li Lu, Haojun Zhang
Construction of a knowledge graph for breast cancer diagnosis based on Chinese electronic medical records: development and usability study
Xiaolong Li, Shuifa Sun, Tinglong Tang, Ji Lu, Lijuan Zhang, Jie Yin, Qian Geng, Yirong Wu
Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands
Catherine Heeney, Matt Bouamrane, Stephen Malden, Kathrin Cresswell, Robin Williams, Aziz Sheikh
Antecedents predicting digital contact tracing acceptance: a systematic review and meta-analysis
Kuang-Ming Kuo
Construction and effect evaluation of prediction model for red blood cell transfusion requirement in cesarean section based on artificial intelligence
Hang Chen, Bowei Cao, Jiangcun Yang, He Ren, Xingqiu Xia, Xiaowen Zhang, Wei Yan, Xiaodan Liang, Chen Li
Intelligent identification system of gastric stromal tumors based on blood biopsy indicators
Shangjun Han, Meijuan Song, Jiarui Wang, Yalong Huang, Zuxi Li, Aijia Yang, Changsheng Sui, Zeping Zhang, Jiling Qiao, Jing Yang
A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke
Yuxin Wang, Yuhan Deng, Yinliang Tan, Meihong Zhou, Yong Jiang, Baohua Liu
Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network
Guillermo Argüello-González, José Aquino-Esperanza, Daniel Salvador, Rosa Bretón-Romero, Carlos Del Río-Bermudez, Jorge Tello, Sebastian Menke
Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter
Srikanth Boligarla, Elda Kokoè Elolo Laison, Jiaxin Li, Raja Mahadevan, Austen Ng, Yangming Lin, Mamadou Yamar Thioub, Bruce Huang, Mohamed Hamza Ibrahim, Bouchra Nasri
The willingness to continue using wearable devices among the elderly: SEM and FsQCA analysis
Ying Wang, Liyan Lu, Rui Zhang, Yiming Ma, Shuping Zhao, Changyong Liang
Machine learning approach for the detection of vitamin D level: a comparative study
Nuriye Sancar, Sahar S. Tabrizi
Prevalence and demographic variation of cardiovascular, renal, metabolic, and mental health conditions in 12 million english primary care records
Jennifer Cooper, Krishnarajah Nirantharakumar, Francesca Crowe, Amaya Azcoaga-Lorenzo, Colin McCowan, Thomas Jackson, Aditya Acharya, Krishna Gokhale, Niluka Gunathilaka, Tom Marshall, Shamil Haroon
Proposal of neural network model for neurocognitive rehabilitation and its comparison with fuzzy expert system model
Martin Kotyrba, Hashim Habiballa, Eva Volna, Robert Jarusek, Pavel Smolka, Martin Prasek, Marek Malina, Vladena Jaremova
Comprehensive information management system for a medical research cohort biobank based on quality by design
Lianshuai Zheng, Leilei Wang
Effectiveness of evidence-based decision aids for women with pathogenic BRCA1 or BRCA2 variants in the german health care context: results from a randomized controlled trial
Sibylle Kautz-Freimuth, Marcus Redaèlli, Arim Shukri, Hannah Kentenich, Dusan Simic, Vanessa Mildenberger, Rita Schmutzler, Kerstin Rhiem, Stephanie Stock
Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness
Jeffrey A. Kline, Brian Reed, Alex Frost, Naomi Alanis, Meylakh Barshay, Andrew Melzer, James W. Galbraith, Alicia Budd, Amber Winn, Eugene Pun, Carlos A. Camargo Jr.
Interpreting deep learning models for glioma survival classification using visualization and textual explanations
Michael Osadebey, Qinghui Liu, Elies Fuster-Garcia, Kyrre E. Emblem
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist
Janet Yamada, Andrew Kouri, Sarah Nicole Simard, Jeffrey Lam Shin Cheung, Stephanie Segovia, Samir Gupta
Development, implementation, and evaluation of neonatal thermoregulation decision support web application
Raziyeh Beykmirza, Elahe Rastkar Mehrabani, Maryam Hashemi, Maryam Mahdizade Shahri, Reza Negarandeh, Maryam Varzeshnejad
Resource use and cost associated with computerized decision support system and usual care in managing patients with atrial fibrillation: analysis of IMPACT-AF randomized trial data
Brittany Humphries, Jafna L Cox, Ratika Parkash, Lehana Thabane, Gary A Foster, James MacKillop, Joanna Nemis-White, Laura Hamilton, Antonio Ciaccia, Shurjeel H Choudhri, Bruno Kovic, Feng Xie
Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms
Azita Yazdani, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Application and interpretation of machine learning models in predicting the risk of severe obstructive sleep apnea in adults
Yewen Shi, Yitong Zhang, Zine Cao, Lina Ma, Yuqi Yuan, Xiaoxin Niu, Yonglong Su, Yushan Xie, Xi Chen, Liang Xing, Xinhong Hei, Haiqin Liu, Shinan Wu, Wenle Li, Xiaoyong Ren
Escape to the future – a qualitative study of physicians’ views on the work environment, education, and support in a digital context
Maria Hägglund, Anna Kristensson Ekwall, Nadia Davoody, Nasim Farrokhnia
Cardiac arrhythmia detection using deep learning approach and time frequency representation of ECG signals
Yared Daniel Daydulo, Bheema Lingaiah Thamineni, Ahmed Ali Dawud
Correction: Development and validation of a case definition for problematic menopause in primary care electronic medical records
Anh N. Q. Pham, Michael Cummings, Nese Yuksel, Beate Sydora, Tyler Williamson, Stephanie Garies, Russell Pilling, Cliff Lindeman, Sue Ross
Impact of clinical decision support on controlled substance prescribing
Rachel B. Seymour, Meghan K. Wally, Joseph R. Hsu, Michael Beuhler, Michael J. Bosse, Michael Gibbs, Christopher Griggs, Steven Jarrett, Daniel Leas, Susan Odum, Tamar Roomian, Michael Runyon, Animita Saha, Sharon Schiro, D. Matthew Sullivan, Brad Watling, Stephen Wyatt, Ziqing Yu
Identifying factors that affect the use of health information technology in the treatment and management of hypertension
Aysan Faezi, Hadi lotfnezhad Afshar, Bahlol Rahimi
Health care needs, eHealth literacy, use of mobile phone functionalities, and intention to use it for self-management purposes by informal caregivers of children with burns: a survey study
Fatemeh Rangraz Jeddi, Ehsan Nabovati, Mohammadreza Mobayen, Hossein Akbari, Alireza Feizkhah, Joseph Osuji, Parissa Bagheri Toolaroud
Individualized treatment decision model for inoperable elderly esophageal squamous cell carcinoma based on multi-modal data fusion
Yong Huang, Xiaoyu Huang, Anling Wang, Qiwei Chen, Gong Chen, Jingya Ye, Yaru Wang, Zhihui Qin, Kai Xu
Quest markup for developing FAIR questionnaire modules for epidemiologic studies
Daniel E. Russ, Nicole M. Gerlanc, Brian Shen, Bhaumik Patel, Amy Berrington de González, Neal D. Freedman, Julie M. Cusack, Mia M. Gaudet, Montserrat García-Closas, Jonas S. Almeida
Expectation of clinical decision support systems: a survey study among nephrologist end-users
Fruzsina Kotsis, Helena Bächle, Michael Altenbuchinger, Jürgen Dönitz, Yacoub Abelard Njipouombe Nsangou, Heike Meiselbach, Robin Kosch, Sabine Salloch, Tanja Bratan, Helena U. Zacharias, Ulla T. Schultheiss
Validation of the Swedish Quality Register for Ear Surgery – SwedEar
Malin Berglund, Sara Olaison, Eva Westman, P. O. Eriksson, Lena Steger, Åsa Bonnard
The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients
Shaomin Shi, Ling Gao, Juan Zhang, Baifang Zhang, Jing Xiao, Wan Xu, Yuan Tian, Lihua Ni, Xiaoyan Wu
Dealing with missing data in laboratory test results used as a baseline covariate: results of multi-hospital cohort studies utilizing a database system contributing to MID-NET® in Japan
Maki Komamine, Yoshiaki Fujimura, Masatomo Omiya, Tosiya Sato
KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning
Yang An, Haocheng Tang, Bo Jin, Yi Xu, Xiaopeng Wei
Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients
Minxian Wang, Mengting Sun, Yao Yu, Xinsheng Li, Yongkui Ren, Da Yin
A political economy analysis of strengthening health information system in Tanzania
August Kuwawenaruwa, Henry Mollel, John Matiko Machonchoryo, Federica Margini, Jennie Jaribu, Peter Binyaruka
In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study
Jun Hwa Choi, Eun Suk Choi, Dougho Park
Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines
Yucong Lin, Jia Li, Huan Xiao, Lujie Zheng, Ying Xiao, Hong Song, Jingfan Fan, Deqiang Xiao, Danni Ai, Tianyu Fu, Feifei Wang, Han Lv, Jian Yang
Smartwatches in healthcare medicine: assistance and monitoring; a scoping review
Mohsen Masoumian Hosseini, Seyedeh Toktam Masoumian Hosseini, Karim Qayumi, Shahriar Hosseinzadeh, Seyedeh Saba Sajadi Tabar
A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images
Pengling Ren, Yi He, Ning Guo, Nan Luo, Fang Li, Zhenchang Wang, Zhenghan Yang
Assessment of a venous thromboembolism prophylaxis shared decision-making intervention (DASH-TOP) using the decisional conflict scale: a mixed-method study
Montserrat León‑García, Brittany Humphries, Pablo Roca Morales, Derek Gravholt, Mark H. Eckman, Shannon M. Bates, Nataly R. Espinoza Suárez, Feng Xie, Lilisbeth Perestelo‑Pérez, Pablo Alonso‑Coello
Extracting laboratory test information from paper-based reports
Ming-Wei Ma, Xian-Shu Gao, Ze-Yu Zhang, Shi-Yu Shang, Ling Jin, Pei-Lin Liu, Feng Lv, Wei Ni, Yu-Chen Han, Hui Zong
Associations of perceived changes in work due to digitalization and the amount of digital work with job strain among physicians: a national representative sample
Lotta Virtanen, Anu-Marja Kaihlanen, Petra Saukkonen, Jarmo Reponen, Tinja Lääveri, Tuulikki Vehko, Peppiina Saastamoinen, Johanna Viitanen, Tarja Heponiemi
A model to forecast the two-year variation of subjective wellbeing in the elderly population
Isotta Trescato, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
Defining the content of a website on advance care planning in dementia: a focus group study with family and health professionals
Charlèss Dupont, Tinne Smets, Fanny Monnet, Lara Pivodic, Aline De Vleminck, Chantal Van Audenhove, Lieve Van den Block
Predicting multiple sclerosis severity with multimodal deep neural networks
Kai Zhang, John A. Lincoln, Xiaoqian Jiang, Elmer V. Bernstam, Shayan Shams
Machine learning-based risk models for procedural complications of radiofrequency ablation for atrial fibrillation
Rong Li, Lan Shen, Wenyan Ma, Linfeng Li, Bo Yan, Yuna Wei, Yao Wang, Changqing Pan, Junyi Yuan
Determining the content and needs assessment a mobile-based self-care program in infertile men
Azadeh Nadjarzadeh, Alireza Fallahzadeh, Arezoo Abasi, Mohammad Mehdi Poornematy, Hamid Reza Farahzadi, Seyed Ali Fatemi Aghda
Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization
Daniel Stoessel, Rui Fa, Svetlana Artemova, Ursula von Schenck, Hadiseh Nowparast Rostami, Pierre-Ephrem Madiot, Caroline Landelle, Fréderic Olive, Alison Foote, Alexandre Moreau-Gaudry, Jean-Luc Bosson
Reducing prescribing of antibiotics for acute respiratory infections using a frontline nurse-led EHR-Integrated clinical decision support tool: protocol for a stepped wedge randomized control trial
Elizabeth R. Stevens, Ruth Agbakoba, Devin M. Mann, Rachel Hess, Safiya I. Richardson, Thomas McGinn, Paul D. Smith, Wendy Halm, Marlon P. Mundt, Katherine L. Dauber-Decker, Simon A. Jones, Dawn M. Feldthouse, Eun Ji Kim, David A. Feldstein
Patients’ perspectives and preferences toward telemedicine versus in-person visits: a mixed-methods study on 1226 patients
Khadijeh Moulaei, Abbas Sheikhtaheri, Farhad Fatehi, Mostafa Shanbehzadeh, Kambiz Bahaadinbeigy
ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports
Jeffrey Wang, Joao Souza de Vale, Saransh Gupta, Pulakesh Upadhyaya, Felipe A. Lisboa, Seth A. Schobel, Eric A. Elster, Christopher J. Dente, Timothy G. Buchman, Rishikesan Kamaleswaran
Identifying the data elements and functionalities of clinical decision support systems to administer medication for neonates and pediatrics: a systematic literature review
Somaye Norouzi, Zahra Galavi, Leila Ahmadian
A Chinese telemedicine-dialogue dataset annotated for named entities
Shanshan Wang, Yajing Yan, Rong Yan, Ting Li, Kaijie Ma, Yani Yan
Visual transformer and deep CNN prediction of high-risk COVID-19 infected patients using fusion of CT images and clinical data
Sara Saberi Moghadam Tehrani, Maral Zarvani, Paria Amiri, Zahra Ghods, Masoomeh Raoufi, Seyed Amir Ahmad Safavi-Naini, Amirali Soheili, Mohammad Gharib, Hamid Abbasi
Initial development of tools to identify child abuse and neglect in pediatric primary care
Rochelle F. Hanson, Vivienne Zhu, Funlola Are, Hannah Espeleta, Elizabeth Wallis, Paul Heider, Marin Kautz, Leslie Lenert
Interpretable prediction of 3-year all-cause mortality in patients with chronic heart failure based on machine learning
Chenggong Xu, Hongxia Li, Jianping Yang, Yunzhu Peng, Hongyan Cai, Jing Zhou, Wenyi Gu, Lixing Chen
Identifying self-reported health-related problems in home-based rehabilitation of older patients after hip replacement in China: a machine learning study based on Omaha system theory
Jing Chen, Fan He, Qian Wu, Li Wang, Xiaoxia Zhu, Yan Qi, JiaLing Wu, Yan Shi
Enhancing efficiency and capacity of telehealth services with intelligent triage: a bidirectional LSTM neural network model employing character embedding
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Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project
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