Applying machine learning models, a type of artificial intelligence (AI), to data collected passively from wearable devices can identify a patient's degree of resilience and well-being, according to investigators at the Icahn School of Medicine at Mount Sinai in New York.
The findings, reported in the May 2nd issue of JAMIA Open, support wearable devices, such as the Apple Watch®, as a way to monitor and assess psychological states remotely without requiring the completion of mental health questionnaires.
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