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

Formative Evaluation of Digital Health Interventions (3229) Patient-Clinician Relationship (33) Telehealth and Telemonitoring (2088) Behavior Change (863) Machine Learning (2076)

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 (1) Tweetations (6) Metrics

Journals

  1. Ivanov M, Rueda A, Bhat V, Krishnan S. Multimodal Framework for Therapeutic Consultations. IEEE Transactions on Affective Computing 2025;16(4):2653 View