Can a Machine Learning-Based Approach Improve Risk Prediction and Individualise Decision Making Between Percutaneous and Surgical Revascularisation in Patients With Complex Coronary Artery Disease?

被引：0
|
作者：
Ninomiya, Kai [1 ]
Kageyama, Shigetaka [1 ]
Shiomi, Hiroki [2 ]
Kotoku, Nozomi [1 ]
Masuda, Shinichiro [1 ]
Revaiah, Pruthvi [1 ]
Garg, Scot [3 ]
O'leary, Neil [1 ]
Kimura, Takeshi [2 ]
Onuma, Yoshinobu [1 ]
Serruys, Patrick [1 ]
Serruys, Patrick [1 ]
机构：
[1] Univ Galway, Galway, Ireland
[2] Kyoto Univ, Grad Sch Med, Kyoto, Japan
[3] Royal Blackburn Hosp, Blackburn, England
来源：
JACC-CARDIOVASCULAR INTERVENTIONS | 2023年 / 16卷 / 04期
关键词：
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
CRT-100.08
引用
收藏
页码：S32 / S32
页数：1
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