Factors associated with admission to elderly medical-welfare facilities in South Korea: a cross-sectional machine-learning study.

Journal: BMJ open
Published Date:

Abstract

OBJECTIVES: To identify the key factors associated with admission to elderly medical-welfare facilities in South Korea and to evaluate their relative importance using machine learning techniques, providing an evidence base for policy in a rapidly ageing society.

Authors

  • Ji Young Lim
    Department of Artificial Intelligent, Sungkyunkwan University, 2066 seobu- ro, Jangan-gu, Suwon-si, 16419, Gyeonggi-do, Korea.
  • Eun Joo Kim
  • Seong Kwang Kim
    Gangneung-Wonju National University, Wonju-si, Korea (the Republic of) ksk1677@naver.com.