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 -
jmir. journal of medical internet research/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