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

Formative Evaluation of Digital Health Interventions (5370) Telehealth and Telemonitoring (3153) Behavior Change (1104) Machine Learning (3331) Patient-Clinician Relationship (53)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46390, first published .
Woman on telehealth call with doctor, holding glass of water.

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 (2) 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
  2. Hassan R, Fathy D. Artificial Intelligence for Digital Patient Communication: A Systematic Review of Portal Message Triage, Chatbot Support, Care Navigation, Automated Response Drafting, and Patient Engagement Analytics. Journal of Health Informatics and Digital Systems 2026;6(2) View