Identifying potential medical aid beneficiaries using machine learning: A Korean Nationwide cohort study.

Abstract

Authors

• Junmo Kim
  School of Electrical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea.
• Su Hyun Park
  Department of Public Healthcare, Seoul National University Hospital, Seoul, Republic of Korea.
• Hyesu Lee
  Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.
• Su Kyoung Lee
  Institute of Agriculture and Life Science and University-Centered Labs, Gyeongsang National University, Jinju 52828, Korea.
• Jihye Kim
  Harvard T.H. Chan School of Public Health, Boston, MA, USA.
• Suhyun Kim
  Department of Clinical Medical Sciences, College of Medicine, Seoul National University, Seoul, Republic of Korea; Department of Transdisciplinary Medicine, Institute of Convergence Medicine with Innovative Technology, Seoul National University Hospital, Seoul, Republic of Korea.
• Yong Jin Kwon
• Kwangsoo Kim
  Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea.

Keywords

External Resources