预测值
冠状动脉造影
扬抑
医学
心脏病学
灵敏度(控制系统)
人工智能
内科学
机器学习
动脉
计算机科学
电子工程
工程类
心肌梗塞
作者
Miguel Nobre Menezes,João Lourenço Silva,Beatriz Silva,Rita Marante de Oliveira,Tiago Rodrigues,Arlindo L. Oliveira,Fausto J. Pinto
标识
DOI:10.25270/jic/23.00285
摘要
Coronary angiography (CAG)-derived physiology methods have been developed in an attempt to simplify and increase the usage of coronary physiology, based mostly on dynamic fluid computational algorithms. We aimed to develop a different approach based on artificial intelligence methods, which has seldom been explored.
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