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
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
,
US
2
Department of Neurology
,
University of Pittsburgh
,
Pittsburgh
,
PA
,
US
3
Information School
,
University of Washington, Seattle
,
Seattle
,
WA
,
US
*these authors contributed equally
Corresponding Author:
-
Zongqi Xia, MD, PhD
-
Department of Neurology
-
University of Pittsburgh
-
3501 Fifth Avenue,
-
BST3, Suite 7014
-
Pittsburgh, PA
-
US
-
Phone:
1 412-383-5377
-
Email: zxia1@pitt.edu