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

Reviews on Public Health Technology and Innovation (86) Machine Learning (2084) HIV/AIDS/STI Prevention and Care (1045) Health Care Quality and Health Services Research (337)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65081, first published .
Identifying Health Care Services Offered in the HIV Care Continuum via a Machine Learning–Based Topic Modeling Approach: Exploratory Literature Review

Identifying Health Care Services Offered in the HIV Care Continuum via a Machine Learning–Based Topic Modeling Approach: Exploratory Literature Review

Identifying Health Care Services Offered in the HIV Care Continuum via a Machine Learning–Based Topic Modeling Approach: Exploratory Literature Review

Authors of this article:

SangA Lee1 Author Orcid Image ;   Layoung Kim1, 2 Author Orcid Image ;   Mi-So Shim3 Author Orcid Image ;   Gwang Suk Kim1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Wang H, Kolstee J, Martinez J, van de Vijver D, Tosh J, Schroeder M, Appiah A, Zimmermann H, Jonas K. Perceptions of Long-Acting Injectable Pre-Exposure Prophylaxis Among Men Who Have Sex With Men and Transgender Individuals in Europe Using Structural Text Modeling Technique: Cross-Sectional Study. JMIR Public Health and Surveillance 2025;11:e72491 View