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可解释的预测模型用于评估中国患者糖尿病并发症风险

Ye Shiren1, Ye Jiangnan1, Ye Xinhua2

  • 1School of Computer and Artificial Intelligence, Changzhou University, Changzhou, China.

Diabetes research and clinical practice
|February 5, 2024
PubMed
概括

这项研究开发了一种可解释的机器学习模型,用于预测糖尿病并发症,如心脏病和视网膜病变. CatBoost模型实现了90.47%的AUC,为更好的预防提供了对风险因素的明确见解.

关键词:
人工智能的人工智能是人工智能.糖尿病并发症 糖尿病并发症可以解释的模型机器学习是机器学习.

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