AJMC August 5, 2022
Researchers developed a framework to pull high-resolution digital phenotypes from wearable devices and use them to predict the risk of cardiometabolic disease.
High-resolution digital phenotypes collected by wearable devices could be used to better predict cardiometabolic disease risk and improve tailored health management, a study published in the Journal of Medical Internet Research suggests.
Consumer-grade wearables such as smart watches and fitness trackers record heart rates, step counts, and other health data in normal day-to-day conditions. Recent research has also demonstrated summary statistics from such wearables have potential uses for the longitudinal monitoring of health and disease states.
“Unlike clean data from controlled experimental settings, real-world wearable recordings tend to be irregular, contain missing stretches, lack clean context annotations, and...
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