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

• Main Authors: Weizhuang Zhou (Author), Yu En Chan (Author), Chuan Sheng Foo (Author), Jingxian Zhang (Author), Jing Xian Teo (Author), Sonia Davila (Author), Weiting Huang (Author), Jonathan Yap (Author), Stuart Cook (Author), Patrick Tan (Author), Calvin Woon-Loong Chin (Author), Khung Keong Yeo (Author), Weng Khong Lim (Author), Pavitra Krishnaswamy (Author)
• Format: Book
• Published: JMIR Publications, 2022-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundConsumer-grade wearable devices enable detailed recordings of heart rate and step counts in free-living conditions. Recent studies have shown that summary statistics from these wearable recordings have potential uses for longitudinal monitoring of health and disease states. However, the re...