Development and external validation of a machine learning model to predict diabetic nephropathy in T1DM patients in the real-world.

Journal: Acta diabetologica
Published Date:

Abstract

AIMS: Studies on machine learning (ML) for the prediction of diabetic nephropathy (DN) in type 1 diabetes mellitus (T1DM) patients are rare. This study focused on the development and external validation of an explainable ML model to predict the risk of DN among individuals with T1DM.

Authors

  • Zouxi Du
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China.
  • Xiaoning Liu
    Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Middletown, NJ, USA.
  • Jiayu Li
    School of Tourism and Geography, School of Biology and Agriculture, Shaoguan University, Shaoguan, China.
  • Hang Min
    South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
  • Yuhu Ma
    Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
  • Wenting Hua
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China.
  • Leyuan Zhang
    The First Clinical Medical College, Gansu University of Traditional Chinese Medicine, Lanzhou, Gansu, China.
  • Yue Zhang
    Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Mengmeng Shang
    College of Engineering, Jiangxi Agricultural University, Nanchang, China.
  • Hui Chen
    Xiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and Science Xiangyang 441000 China.
  • Hong Yin
    Department of Mathematics, School of Information, Renmin University of China, No.59 Zhong Guan Cun Avenue, Hai Dian District, Beijing, 100872, China. yinxiaohong82@hotmail.com.
  • Limin Tian
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China. tlm7066@sina.com.