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

Formative Evaluation of Digital Health Interventions (2794) Patient-Clinician Relationship (20) Telehealth and Telemonitoring (1866) Behavior Change (767) Machine Learning (1714)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46390, first published .
Developing a Machine Learning–Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study

Developing a Machine Learning–Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study

Developing a Machine Learning–Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study

Authors of this article:

Pooja Guhan1 Author Orcid Image ;   Naman Awasthi1 Author Orcid Image ;   Kathryn McDonald2 Author Orcid Image ;   Kristin Bussell3 Author Orcid Image ;   Gloria Reeves2 Author Orcid Image ;   Dinesh Manocha1 Author Orcid Image ;   Aniket Bera4 Author Orcid Image
Article Authors Cited by Tweetations (6) Metrics

Pooja Guhan   1 , PhD ;   Naman Awasthi   1 , PhD ;   Kathryn McDonald   2 , BS ;   Kristin Bussell   3 , PhD ;   Gloria Reeves   2 , MD ;   Dinesh Manocha   1 , PhD ;   Aniket Bera   4 , PhD

1 Department of Computer Science, University of Maryland, College Park, MD, United States

2 Department of Psychiatry, Child and Adolescent Division, University of Maryland, Baltimore, MD, United States

3 School of Nursing, University of Maryland, Baltimore, MD, United States

4 Department of Computer Science, Purdue University, West Lafayett, IN, United States

Corresponding Author:

  • Pooja Guhan, PhD
  • Department of Computer Science
  • University of Maryland
  • 8125 Paint Branch Dr
  • College Park, MD, 20742
  • United States
  • Phone: 1 2406309133
  • Fax: 1 (301) 405 6707
  • Email: pguhan@umd.edu