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Updated: Jul 23, 2025

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深度学习模型预测运动压力测试结果:优化诊断测试选择策略,减少疑似冠状动脉疾病患者的浪费

Juan Lu1, Jonathon Stewart2, Mohammed Bennamoun3

  • 1Department of Computer Science and Software Engineering, The University of Western Australia, Australia; Medical School, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia; Harry Perkins Institute of Medical Research, Perth, Australia.

Computer methods and programs in biomedicine
|July 16, 2023
PubMed
概括

机器学习模型可以使用患者数据预测不确定的心脏炼应力测试 (EST) 结果. 这种方法有助于识别可能需要进行非诊断测试的患者,优化冠状动脉疾病 (CAD) 的诊断策略.

关键词:
冠状动脉疾病是一种冠状动脉疾病.支持决定的决定支持.深度学习是一种深度学习.运动压力测试 运动压力测试预测试验 预测试验 预测试验

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