Gradient boosting on combined wearable biomarkers, activity, and sleep data yields 84.44% AUC for short-term weight-loss prediction in a 100-person cohort.
Building a Cardiovascular Disease Prediction Model for Smartwatch Users Using Machine Learning: Based on the Korea Na- tional Health and Nutrition Examination Survey,
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Personalized Weight Loss Management through Wearable Devices and Artificial Intelligence
Gradient boosting on combined wearable biomarkers, activity, and sleep data yields 84.44% AUC for short-term weight-loss prediction in a 100-person cohort.