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

Clinical Communication, Electronic Consultation and Telehealth (820) Demographics of Users, Social & Digital Divide (987) Telehealth and Telemonitoring (2245) Use and User Demographics of mHealth (436) Machine Learning (2285) E-Health / Health Services Research and New Models of Care (820)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78030, first published .
Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties

Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties

Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties

Authors of this article:

Aysenur Betul Cengil1 Author Orcid Image ;   Burak Eksioglu1, 2 Author Orcid Image ;   Sandra Duni Eksioglu1 Author Orcid Image ;   Corey Hayes3, 4, 5 Author Orcid Image ;   Cari Bogulski3, 4 Author Orcid Image ;   Mir Ali3 Author Orcid Image
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