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

Artificial Intelligence (2161) Machine Learning (2094) Clinical Informatics (1335)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46608, first published .
Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data

Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data

Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data

Authors of this article:

Young-Taek Park1 Author Orcid Image ;   Donghan Kim2 Author Orcid Image ;   Ji Soo Jeon3 Author Orcid Image ;   Kwang Gi Kim3, 4 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Mustafa W, Alquran H. Editorial for the Special Issue “Medical Data Processing and Analysis—2nd Edition”. Diagnostics 2025;15(9):1170 View
  2. Balakrishnan K, Li Z, Hinkle H, Weidenbacher-Hoper V, Reynolds C, Keesee A. Predictors of rural hospital closures in the United States: a systematic review and call for AI-driven early warning systems. BMC Health Services Research 2025 View

Books/Policy Documents

  1. Masuda S, Matsuno F, Hirai I, Muta K, Yamasaki T. Advanced Data Mining and Applications. View