Ausgabe Sonderheft 11/2020
Informatics and machine learning methods for health applications
Inhalt (9 Artikel)
Open Access
Introduction
Informatics and machine learning methods for health applications
Li Shen, Xinghua Shi, Zhongming Zhao, Kai Wang
Open Access
Research
Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes
Jiancheng Ye, Liang Yao, Jiahong Shen, Rethavathi Janarthanam, Yuan Luo
Open Access
Research
Natural language processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder
Jacqueline Peng, Mengge Zhao, James Havrilla, Cong Liu, Chunhua Weng, Whitney Guthrie, Robert Schultz, Kai Wang, Yunyun Zhou
Open Access
Research
Annotation and extraction of age and temporally-related events from clinical histories
Judy Hong, Anahita Davoudi, Shun Yu, Danielle L. Mowery
Open Access
Research
SURF: identifying and allocating resources during Out-of-Hospital Cardiac Arrest
Gaurav Rao, Salimur Choudhury, Pawan Lingras, David Savage, Vijay Mago
Open Access
Research
Utilizing deep learning and graph mining to identify drug use on Twitter data
Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Mendhe, Vijay Mago, Salimur Choudhury
Open Access
Research
An interpretable risk prediction model for healthcare with pattern attention
Sundreen Asad Kamal, Changchang Yin, Buyue Qian, Ping Zhang
Open Access
Research
Comparing different wavelet transforms on removing electrocardiogram baseline wanders and special trends
Chao-Chen Chen, Fuchiang Rich Tsui