A Multimodal Predictive Model for Chronic Kidney Disease and Its Association With Vascular Complications in Patients With Type 2 Diabetes: Model Development and Validation Study in South Korea and the U.K.

Abstract

Authors

• Jaehyeong Cho
  Department of Research Keimyung University Dongsan Medical Center Daegu South Korea.
• Selin Woo
  Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
• Seung Ha Hwang
  Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea.
• Soeun Kim
  Research Center for Green Fine Chemicals, Korea Research Institute of Chemical Technology, Ulsan 44412, Korea.
• Hayeon Lee
  Department of Biomedical Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin, 17104, South Korea.
• Jiyoung Hwang
  Department of Radiology, Soonchunhyang University College of Medicine, Seoul, Republic of Korea;
• Jaewon Kim
  LifeSemantics, Seoul, Republic of Korea.
• Min Seo Kim
  Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
• Lee Smith
  Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.
• Sooji Lee
  Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
• Jinseok Lee
• Hong-Hee Won
  Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
• 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.

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