Prediction of Coronary Artery Disease Using Machine Learning

被引：0
|
作者：
Chang, Chin-Chuan [1 ,2 ]
Chen, Chien-Hua [3 ]
Hsieh, Jer-Guang [1 ]
Jeng, Jyh-Horng [1 ]
机构：
[1] Department of Electrical Engineering, I-Shou University, Taiwan
[2] Department of Nuclear Medicine, Kaohsiung Medical University Hospital, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
[3] Department of Electrical Engineering, I-Shou University Department of Emergency Medicine, Kaohsiung Municipal United Hospital, Kaohsiung, Taiwan
来源：
Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022 | 2022年
关键词：
Engineering Village;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Cardiovascular disease - Coronary artery disease - Logistics regressions - Machine-learning - Myocardial perfusion - Perfusion imaging - Radionuclide myocardial perfusion imaging - Random forests - Support vector classifiers - Thallium-201
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页码：225 / 227
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