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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38495, first published April 06, 2022.

Prerna Chikersal ¹ , MS ;   Shruthi Venkatesh ² , BS ;   Karman Masown ² , BS ;   Elizabeth Walker ² , BS ;   Danyal Quraishi ² , BS ;   Anind Dey ^{3
*} , PhD ;   Mayank Goel ^{1
*} , PhD ;   Zongqi Xia ^{2
*} , MD, PhD

¹ School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States

² Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States

³ Information School, University of Washington, Seattle, Seattle, WA, United States

*these authors contributed equally

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