Evidation Health, Inc. (20250095865). ACTIVE LEARNING FOR WEARABLE HEALTH SENSOR
Contents
ACTIVE LEARNING FOR WEARABLE HEALTH SENSOR
Organization Name
Inventor(s)
Luca Foschini of Santa Barbara CA US
Andrea Varsavsky of Santa Monica CA US
Raghunandan Melkote Kainkaryam of Cincinnati OH US
ACTIVE LEARNING FOR WEARABLE HEALTH SENSOR
This abstract first appeared for US patent application 20250095865 titled 'ACTIVE LEARNING FOR WEARABLE HEALTH SENSOR
Original Abstract Submitted
an active learning system can analyze a dataset of users with self-reported symptoms and associated data from wearable devices to train a baseline machine learning model to predict symptoms of a chronic health condition based on wearable device data. for example, symptoms can be predicted in terms of lost physical activity, increased sleep requirements, and changes in resting heart rate. using the baseline model, the active learning system can train and refine individual user-specific models to predict the onset of chronic health condition symptoms over time. these models can be used to predict symptoms for inclusion in a log of symptoms for the target user (which may be used by a healthcare provider to personalize treatment for the target user) or to provide interventions to the user (for example, warning of a predicted severe symptom day). in some implementations individual chronic health condition models are maintained and updated using active learning techniques.
