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Updated: May 16, 2025

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基于机器学习的模型预测2型糖尿病结合冠心病和基于可解释SHAP特征分析的特征分析

Yijian Ji1, Hongyan Shang2, Jing Yi3

  • 1Academy of Public Health, Shanxi Medical University, Jinzhong, Shanxi, China.

Acta diabetologica
|April 1, 2025
PubMed
概括

机器学习模型现在可以更好地预测2型糖尿病和冠状动脉心脏病并发症. 使用SHAP分析的XGBoost识别了比利鲁宾和胆固醇等关键预测因子,提高了诊断效率.

关键词:
复杂性 复杂性 复杂性机器学习是机器学习.预测模型是一个预测模型.

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