Article

Machine learning models for early prognosis prediction in cardiogenic shock

2025-09-19

Abstract excerpt

Cardiogenic shock (CS) is a severe and frequent complication of acute myocardial infarction (AMI), necessitating rapid and accurate prognosis as-sessment to guide treatment and intensive care unit (ICU) resource allocation. We developed two machine learning models to predict 30-day outcomes following CS in AMI: an Admission model (using only data available at admission, like demography, comorbidities) and a Full m...

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Literature Corpus work: 438511b8-14f1-53f6-abeb-aaa1c6615f4d
DOI: 10.1101/2025.09.18.25336054

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