Published on in Vol 24, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34669, first published .
High-Resolution Digital Phenotypes From Consumer Wearables and Their Applications in Machine Learning of Cardiometabolic Risk Markers: Cohort Study

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

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 , SG

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

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

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

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

6 Duke-NUS Medical School , Singapore , SG

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

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

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

*these authors contributed equally

Corresponding Author:

  • Pavitra Krishnaswamy, PhD
  • Institute for Infocomm Research
  • Agency for Science Technology and Research (A*STAR)
  • 1 Fusionopolis Way, #21-01
  • Connexis (South Tower)
  • Singapore
  • SG
  • Phone: 65 64082450
  • Email: pavitrak@i2r.a-star.edu.sg