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使用可解释的机器学习算法预测糖尿病视网膜病变的风险

Md Merajul Islam1, Md Jahanur Rahman2, Md Symun Rabby3

  • 1Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh; Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh-2224, Bangladesh.

Diabetes & metabolic syndrome
|December 13, 2023
PubMed
概括

这项研究开发了一种可解释的机器学习系统,用于预测糖尿病视网膜病变 (DR) 风险. 该XGBoost模型实现了90.01%的准确性,识别了中国早期DR检测的关键预测因素.

关键词:
糖尿病视网膜病变 - 糖尿病视网膜病变机器学习 机器学习预测 预测 预测预测者 预测者

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