Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping.
Prerna ChikersalShruthi VenkateshKarman MasownElizabeth WalkerDanyal A QuraishiAnind K DeyMayank GoelZongqi XiaPublished in: JMIR mental health (2022)
Our approach could help clinicians better triage patients with MS and potentially other chronic neurological disorders for interventions and aid patient self-monitoring in their own environment, particularly during extraordinarily stressful circumstances such as pandemics, which would cause drastic behavior changes.