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

BACKGROUND: Consumer-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...

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Detalles Bibliográficos
Autores principales: Zhou, Weizhuang, Chan, Yu En, Foo, Chuan Sheng, Zhang, Jingxian, Teo, Jing Xian, Davila, Sonia, Huang, Weiting, Yap, Jonathan, Cook, Stuart, Tan, Patrick, Chin, Calvin Woon-Loong, Yeo, Khung Keong, Lim, Weng Khong, Krishnaswamy, Pavitra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377462/
https://www.ncbi.nlm.nih.gov/pubmed/35904853
http://dx.doi.org/10.2196/34669

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377462/
https://www.ncbi.nlm.nih.gov/pubmed/35904853
http://dx.doi.org/10.2196/34669

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