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

New Methods (1146) Obesity (119) Incidence and Prevalence of Obesity (11) Digital Health, Telehealth and e-Innovation in Clinical Settings (563) mHealth for Wellness, Behavior Change and Prevention (3359) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1765) Digital Health Reviews (1759)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53873, first published .
Research Trends on Metabolic Syndrome in Digital Health Care Using Topic Modeling: Systematic Search of Abstracts

Research Trends on Metabolic Syndrome in Digital Health Care Using Topic Modeling: Systematic Search of Abstracts

Research Trends on Metabolic Syndrome in Digital Health Care Using Topic Modeling: Systematic Search of Abstracts

Authors of this article:

Kiseong Lee1 Author Orcid Image ;   Yoongi Chung2 Author Orcid Image ;   Ji-Su Kim2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Ren J, Luo J, Huang Y, Shetty V, Jeon M. Mapping the mHealth Nexus: A Semantic Analysis of mHealth Scholars’ Research Propensities Following an Interdisciplinary Training Institute. Applied Sciences 2025;15(11):6252 View
  2. Erdem R, Moroğlu B, Moroğlu N, Genç Y, Yıldırım A. Analysis of Research Trends in Cleft Lip and Palate: A Topic Modeling Study. The Cleft Palate Craniofacial Journal 2025 View
  3. Moon W, Ahn J, Lee H. Research trends in hospital information systems in Korea: a topic modeling analysis. Informatics for Health and Social Care 2026:1 View