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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81130, first published .
Medical researchers analyze machine learning model for dyslipidemia prediction on a large screen.

Machine Learning Prediction Model for Dyslipidemia and Its Association With Atherothrombotic Events in 3 Independent Cohorts From South Korea, Japan, and the United Kingdom: Algorithm Development and Validation Study

Machine Learning Prediction Model for Dyslipidemia and Its Association With Atherothrombotic Events in 3 Independent Cohorts From South Korea, Japan, and the United Kingdom: Algorithm Development and Validation Study

Tae Hyeon Kim   1, 2 * , MD ;   Soeun Kim   1, 2 * , MS ;   Yerim Kim   1, 3 , BS ;   Hayeon Lee   1, 4 , PhD ;   Seung Ha Hwang   1, 4 , MS ;   So Young Yang   5, 6 , MD ;   Lee Smith   7, 8 , PhD ;   André Hajek   9 , PhD ;   Selin Woo   1, 2 , PhD ;   Dong Keon Yon   1, 2, 10 , MD, PhD

1 Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea

2 Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea

3 Department of Computer Science, Sookmyung Women’s University, Seoul, Republic of Korea

4 Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, Republic of Korea

5 Cardiovascular Center, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Republic of Korea

6 Department of Cardiology, Gil Medical Center, Gacheon University, Incheon, Republic of Korea

7 Centre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom

8 Department of Public Health, Faculty of Medicine, Biruni University, Istanbul, Turkey

9 Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany

10 Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Dong Keon Yon, MD, PhD
  • Center for Digital Health, Medical Science Research Institute
  • Kyung Hee University Medical Center, Kyung Hee University College of Medicine
  • 23 Kyungheedae-ro, Dongdaemun-gu
  • Seoul 02447
  • Republic of Korea
  • Phone: 82 2-961-0680, 82 2-961-0680
  • Email: yonkkang@gmail.com