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Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
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使用机器学习和常规临床生物标志物的早期冠状动脉疾病预测,通过增强的虚拟数据改进

Angela Koloi1,2,3, Vasileios S Loukas1, Cillian Hourican4

  • 1Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.

European heart journal. Digital health
|September 25, 2024
PubMed
概括

机器学习模型使用常规测试准确预测冠状动脉疾病 (CAD). 这种方法增强了早期检测,并可能减少疑似CAD患者的侵入性手术.

关键词:
分类算法的分类算法.冠状动脉疾病是一种冠状动脉疾病.数据增强的数据增强.机器学习是机器学习.

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