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

Artificial Intelligence (1383) Machine Learning (1474) Clinical Informatics (1031)

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 Tweetations Metrics

Young-Taek Park   1 , PhD ;   Donghan Kim   2 , PhD ;   Ji Soo Jeon   3 , MS ;   Kwang Gi Kim   3, 4 , PhD

1 HIRA Research Institute, Health Insurance Review & Assessment Service, Wonju-si, Republic of Korea

2 Center for Geospatially Enabled Society, Korea Research Institute for Human Settlements, Sejong-si, Republic of Korea

3 Department of Biomedical Engineering, College of Medicine, Gil Medical Center, Gachon University, Inchon, Republic of Korea

4 KMAIN Corp, Seongnam-si, Republic of Korea

Corresponding Author:

  • Kwang Gi Kim, PhD
  • Department of Biomedical Engineering
  • College of Medicine, Gil Medical Center
  • Gachon University
  • 58-13 Docjemro
  • NamdongGum
  • Inchon, 21565
  • Republic of Korea
  • Phone: 82 324582770
  • Email: kimkg@gachon.ac.kr