High-Resolution Digital Phenotypes From Consumer Wearables and Their Applications in Machine Learning of Cardiometabolic Risk Markers: Cohort Study

Weizhuang Zhou   ^{1 *} , PhD ;   Yu En Chan   ^{1 *} , BSc ;   Chuan Sheng Foo   ¹ , PhD ;   Jingxian Zhang   ¹ , PhD ;   Jing Xian Teo   ² , BSc ;   Sonia Davila   ^{2, 3, 4} , PhD ;   Weiting Huang   ⁵ , MBBS, MRCP ;   Jonathan Yap   ^{5, 6} , MBBS, MRCP ;   Stuart Cook   ⁴ , MRCP, PhD ;   Patrick Tan   ^{2, 7, 8, 9} , MD, PhD ;   Calvin Woon-Loong Chin   ^{5, 6} , MD, MRCP ;   Khung Keong Yeo   ^{2, 5, 6} , MBBS ;   Weng Khong Lim   ^{2, 3, 7} , PhD ;   Pavitra Krishnaswamy   ¹ , PhD

¹ Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR), Singapore, Singapore

² SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore

³ SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore

⁴ Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore, Singapore

⁵ Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore

⁶ Duke-NUS Medical School, Singapore, Singapore

⁷ Cancer and Stem Biology Program, Duke-NUS Medical School, Singapore, Singapore

⁸ Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore

⁹ Genome Institute of Singapore, Agency for Science Technology and Research (A*STAR), Singapore, Singapore

*these authors contributed equally