A Machine Learning Framework for Circadian Stability Assessment Using Wearable Health Data
A machine learning solution for the evaluation of circadian rhythm stability based on physiological and behavioral data obtained from wearables that provides a number of insights that can help in preventive healthcare, healthier lifestyle choices, and continuous monitoring of circadian health status.