A new epidemiological approach using machine learning based on medico-administrative database: automatic identification and prevalence estimation in heart failure

被引：0
|
作者：
Mustafic, H. [1 ]
Gouysse, M. [2 ]
Dore, O. [2 ]
Perray, L. [2 ]
Maravic, M. [3 ]
Jourdain, P. [4 ]
机构：
[1] Paris Saclay Univ Hosp Bicetre, AP HP, INSERM, Dept Cardiol,CESP,U1018, Le Kremlin Bicetre, France
[2] IQVIA, Ai & Data Engine, Courbevoie, France
[3] IQVIA, Real World Solut, Paris, France
[4] Paris Saclay Univ Hosp Bicetre, AP HP, Dept Cardiol, INSERM,U999, Le Kremlin Bicetre, France
来源：
EUROPEAN HEART JOURNAL | 2021年 / 42卷
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：
引用
收藏
页码：3164 / 3164
页数：1
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