The application and clinical translation of the self-evolving machine learning methods in predicting diabetic retinopathy and visualizing clinical transformation.

Journal: Frontiers in endocrinology
PMID:

Abstract

OBJECTIVE: This study aims to analyze the application and clinical translation value of the self-evolving machine learning methods in predicting diabetic retinopathy and visualizing clinical outcomes.

Authors

  • Binbin Li
    Department of Ophthalmology, Ganzhou people's Hospital, Ganzhou, China.
  • Liqun Hu
    Department of Ophthalmology, Ganzhou people's Hospital, Ganzhou, China.
  • Siqing Zhang
    Department of Endocrinology, Ganzhou people's Hospital, Ganzhou, China.
  • Shaojun Li
    State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, 430071, Hubei, China.
  • Wei Tang
    Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Guishang Chen
    Department of Ophthalmology, Ganzhou people's Hospital, Ganzhou, China.