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机器学习模型的开发和验证,用于在高风险成年人中使用临床数据现场预测冠心病

Liwen Mo1, Hua Lin1, Chengxuan Li2

  • 1Health care center, the Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

PloS one
|November 13, 2025
PubMed
概括

一个新的双层机器学习模型 (TLML) 准确地使用临床数据预测冠心病 (CHD) 风险. 该模型的性能优于传统的评分,为现场的CHD风险评估提供了有价值的工具.

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