Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping

Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping

BackgroundThe COVID-19 pandemic has broad negative impact on the physical and mental health of people with chronic neurological disorders such as multiple sclerosis (MS). ObjectiveWe presented a machine learning approach leveraging passive sensor data from smartph...

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Bibliographic Details
Main Authors: Prerna Chikersal, Shruthi Venkatesh, Karman Masown, Elizabeth Walker, Danyal Quraishi, Anind Dey, Mayank Goel, Zongqi Xia
Format: Article
Language:English
Published: JMIR Publications 2022-08-01
Series:JMIR Mental Health
Online Access:https://mental.jmir.org/2022/8/e38495

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https://mental.jmir.org/2022/8/e38495

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