This paper is in the following e-collection/theme issue:

Development of Instruments and Surveys (93) Theme Issue: Human Factors of the COVID-19 Outbreak (65) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1537) Theme Issue: The Influence of the COVID-19 Pandemic on Rehabilitation (15) Protocols for Public Health Research and Surveillance (86) Occupational Therapy and Vocational Rehabilitation (43) Nursing in a Homecare Setting (20)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54993, first published .
Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational Study

Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational Study

Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational Study

Authors of this article:

Jenny Mathew1 Author Orcid Image ;   Jaclyn A Pagliaro2 Author Orcid Image ;   Sathyanarayanan Elumalai1 Author Orcid Image ;   Lauren K Wash2 Author Orcid Image ;   Ka Ly3 Author Orcid Image ;   Alison J Leibowitz2 Author Orcid Image ;   Varsha G Vimalananda2, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Jenny Mathew   1 , RN, MSN, MBA ;   Jaclyn A Pagliaro   2 , MPH ;   Sathyanarayanan Elumalai   1 , MS, MBA ;   Lauren K Wash   2 , MA ;   Ka Ly   3 , PharmD, RPh ;   Alison J Leibowitz   2 , BA ;   Varsha G Vimalananda   2, 4 , MD, MPH

1 Aidar Health, Inc, Columbia, MD, United States

2 Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, Bedford, MA, United States

3 Clinical Informatics, Providence VA Medical Center, Providence, RI, United States

4 Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States

Corresponding Author: