Machine Learning-Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan.

Abstract

Authors

• Seung Ha Hwang
  Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea.
• Hayeon Lee
  Department of Biomedical Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin, 17104, South Korea.
• Jun Hyuk Lee
  Department of Ophthalmology, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Gyeonggi-do, Republic of Korea.
• Myeongcheol Lee
  Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
• Ai Koyanagi
  Research and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain.
• Lee Smith
  Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.
• Sang Youl Rhee
  Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.
• Dong Keon Yon
  Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
• Jinseok Lee

Keywords

External Resources