MACHINE LEARNING MODEL PREDICTS LENGTH OF STAY CATEGORY IN PATIENTS UNDERGOING TRANSCATHETER AORTIC VALVE REPLACEMENT

被引：0
|
作者：
Ahmed, Nida
Slabaugh, Greg
Baumbach, Andreas
机构：
[1] Queen Mary Univ London, Fac Med & Dent, William Harvey Res Inst, London, England
[2] Queen Mary Univ London, Digital Environm Res Inst, London, England
来源：
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY | 2024年 / 83卷 / 13期
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D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
1422-114
引用
收藏
页码：2574 / 2574
页数：1
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