.png){kind=icon}
.png){kind=icon}
Return
Machine Learning Based Prediction of Hospital Mortality in Post-Cardiotomy Cardiogenic Shock with Mechanical Support
.png){kind=icon}
OA
AI
A
M
S
B
M
G
G
G
J
E
G
D
C
J
H
M
D
D
K
D
D
J
Y
V
G
B
U
E
S
L
G
R
R
DOI：10.1093/eschf/xvag145.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
To develop and evaluate machine learning–based models for predicting in-hospital mortality in post-cardiotomy cardiogenic shock patients supported with extracorporeal life support, aiming to improve prognostication and optimize clinical decision-making.
Journal
IF:
3.7
Papers:
3.3K
Citations:
9.1K
Organization
Cited Papers