Explainable machine learning model for predicting the risk of significant liver fibrosis in patients with diabetic retinopathy.

Journal: BMC medical informatics and decision making
Published Date: Nov 11, 2024

Abstract

BACKGROUND: Diabetic retinopathy (DR), a prevalent complication in patients with type 2 diabetes, has attracted increasing attention. Recent studies have explored a plausible association between retinopathy and significant liver fibrosis. The aim of this investigation was to develop a sophisticated machine learning (ML) model, leveraging comprehensive clinical datasets, to forecast the likelihood of significant liver fibrosis in patients with retinopathy and to interpret the ML model by applying the SHapley Additive exPlanations (SHAP) method.

Authors

  • Gangfeng Zhu
    The First Clinical Medical College, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
  • Na Yang
    Department of Ultrasound, Affiliated Hospital of Jilin Medical College, Jilin, China.
  • Qiang Yi
    The First Clinical Medical College, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
  • Rui Xu
    Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China.
  • Liangjian Zheng
    The First Clinical Medical College, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
  • Yunlong Zhu
  • Junyan Li
    Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Jie Che
    The First Clinical Medical College, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
  • Cixiang Chen
    The First Clinical Medical College, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
  • Zenghong Lu
    Department of Oncology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China. 1319138779@qq.com.
  • Li Huang
    National Research Center for Resettlement (NRCR), Hohai University, 1 Xikang Road, Nanjing 210098, China. lily8214@hhu.edu.cn.
  • Yi Xiang
    Department of Ophthalmology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Tianlei Zheng
    CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China.

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