A machine learning-based prediction of diabetic retinopathy using the Korea national health and nutrition examination survey (2008-2012, 2017-2021).

Journal: Frontiers in medicine
Published Date: May 30, 2025

Abstract

BACKGROUND: Machine learning technology that uses available clinical data to predict diabetic retinopathy (DR) can be highly valuable in medical settings where fundus cameras are not accessible.

Authors

  • Min Seok Kim
    School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
  • Young Wook Choi
    RetiMark R&D Center, Seoul, Republic of Korea.
  • Borghare Shubham Prakash
    RetiMark R&D Center, Seoul, Republic of Korea.
  • Youngju Lee
    RetiMark R&D Center, Seoul, Republic of Korea.
  • Soo Lim
    Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, 13620, Republic of Korea.
  • Se Joon Woo
    Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.

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