Open AccessHigh-Resolution Digital Phenotypes From Consumer Wearables and Their Applications in Machine Learning of Cardiometabolic Risk Markers: Cohort Study
Author(s) -
Weizhuang Zhou,
Yu En Chan,
Chuan-Sheng Foo,
Jingxian Zhang,
Jing Xian Teo,
Sonia Dávila,
Weiting Huang,
Jonathan Yap,
Stuart A. Cook,
Patrick Tan,
Calvin Chin,
Khung Keong Yeo,
Weng Khong Lim,
Pavitra Krishnaswamy
Publication year - 2022
Publication title -
journal of medical internet research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.446
H-Index - 142
eISSN - 1439-4456
pISSN - 1438-8871
DOI - 10.2196/34669
Subject(s) - wearable computer , wearable technology , digital health , computer science , biobank , actigraphy , artificial intelligence , machine learning , medicine , bioinformatics , circadian rhythm , biology , health care , economics , embedded system , economic growth
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