Published on 29.7.2022 in Vol 24, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34669, first published November 09, 2021.

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 Zhou¹

; Chuan Sheng Foo¹

; Jingxian Zhang¹

; Jing Xian Teo²

; Sonia Davila^{2, 3, 4}

; Weiting Huang⁵

; Jonathan Yap^{5, 6}

; Stuart Cook⁴

; Patrick Tan^{2, 7, 8, 9}

; Calvin Woon-Loong Chin^{5, 6}

; Khung Keong Yeo^{2, 5, 6}

; Weng Khong Lim^{2, 3, 7}

; Pavitra Krishnaswamy¹

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