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

Formative Evaluation of Digital Health Interventions (2491) Machine Learning (1501) Hypertension Prevention and Treatment (229)

Published on in Vol 6, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31292, first published .
One Hundred Years of Hypertension Research: Topic Modeling Study

One Hundred Years of Hypertension Research: Topic Modeling Study

One Hundred Years of Hypertension Research: Topic Modeling Study

Authors of this article:

Mustapha Abba1 Author Orcid Image ;   Chidozie Nduka1 Author Orcid Image ;   Seun Anjorin1 Author Orcid Image ;   Shukri Mohamed1 Author Orcid Image ;   Emmanuel Agogo2 Author Orcid Image ;   Olalekan Uthman1 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Journals

  1. Karabacak M, Margetis K. Natural language processing reveals research trends and topics in The Spine Journal over two decades: a topic modeling study. The Spine Journal 2024;24(3):397 View
  2. Yasli G, Damar M, Özbiçakci Ş, Alici S, Pinto A. Primary care research on hypertension: A bibliometric analysis using machine-learning. Medicine 2024;103(47):e40482 View