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使用临床,实验室和心电图数据的机器学习方法提高了阻塞性冠状动脉疾病的预测能力

Hyun-Gyu Lee1, Sang-Don Park2, Jang-Whan Bae3

  • 1School of Medicine, Inha University, Incheon, Korea.

Scientific reports
|August 3, 2023
PubMed
概括

这项研究开发了一种使用机器学习和深度学习来预测阻塞性冠状动脉疾病 (ObCAD) 的整体模型. 该模型整合了临床,实验室和心电图数据,优于用于准确的OBCD评估的传统方法.

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