High-Resolution Digital Phenotypes From Consumer Wearables and Their Applications in Machine Learning of Cardiometabolic Risk Markers: Cohort Study.
Weizhuang ZhouYu En ChanChuan Sheng FooJingxian ZhangJing Xian TeoSonia DavilaWeiting HuangJonathan J L YapStuart Alexander CookPatrick Boon-Ooi TanCalvin Woon-Loong ChinKhung Keong YeoWeng Khong LimPavitra KrishnaswamyPublished in: Journal of medical Internet research (2022)
High-resolution digital phenotypes recorded by consumer wearables in free-living states have the potential to enhance the prediction of cardiometabolic disease risk and could enable more proactive and personalized health management.