Development and Validation of a Deep Learning Based Diabetes Prediction System Using a Nationwide Population-Based Cohort.

Journal: Diabetes & metabolism journal
Published Date: Feb 25, 2021

Abstract

BACKGROUND: Previously developed prediction models for type 2 diabetes mellitus (T2DM) have limited performance. We developed a deep learning (DL) based model using a cohort representative of the Korean population.

Authors

  • Sang Youl Rhee
    Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.
  • Ji Min Sung
    Integrative Research Center for Cerebrovascular and Cardiovascular diseases, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Korea.
  • Sunhee Kim
    Yonsei University College of Medicine, Yonsei University Health System, Seoul, Korea.
  • In-Jeong Cho
    Division of Cardiology, Ewha University College of Medicine, Seoul, Korea.
  • Sang-Eun Lee
    Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea - selee@snubh.org.
  • Hyuk-Jae Chang
    Department of Cardiology, Yonsei University College of Medicine, Seoul, Republic Of Korea.

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