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Explainable SHAP-XGBoost models for in-hospital mortality after myocardial infarction
30
Zitationen
6
Autoren
2023
Jahr
Abstract
The literature lacks explainable ML models predicting in-hospital mortality after an MI. In a national registry, explainable ML models performed best in ruling out in-hospital death post-MI, and their explanation illustrated their potential for guiding hypothesis generation and future study design.
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