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

Journal: Journal of medical Internet research
Published Date: Aug 30, 2024

Abstract

BACKGROUND: Small clinics are important in providing health care in local communities. Accurately predicting their closure would help manage health care resource allocation. There have been few studies on the prediction of clinic closure using machine learning techniques.

Authors

  • Young-Taek Park
    HIRA Research Institute, Health Insurance Review & Assessment Service (HIRA), Wonju-si 26465, Korea.
  • Donghan Kim
    AgeTech-Service Convergence Major, Department of Electronic Engineering, Kyung Hee University, Yongin 17104, Korea.
  • Ji Soo Jeon
    Department of Biomedical Engineering, Gachon University College of Medicine, Incheon, South Korea.
  • Kwang Gi Kim
    Department of Biomedical Engineering Branch, National Cancer Center, Gyeonggi-do, South Korea.

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