Predicting Diabetic Retinopathy Using a Machine Learning Approach Informed by Whole-Exome Sequencing Studies.

Journal: Biomedical and environmental sciences : BES
PMID: 39924156

Abstract

OBJECTIVE: To establish and validate a novel diabetic retinopathy (DR) risk-prediction model using a whole-exome sequencing (WES)-based machine learning (ML) method.

Authors

  • Chong Yang She
    Department of Ophthalmology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
  • Wen Ying Fan
    Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100176, China.
  • Yun Yun Li
    Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100176, China.
  • Yong Tao
  • Zu Fei Li
    Department of Otorhinolaryngology, Head and Neck Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.

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