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Interpretable Machine Learning-Based Clinical Predictive Model for Early Readmission in Patients with Cardiogenic Shock

2024-07-09

Abstract excerpt

<h4>Background/Purpose</h4> Cardiogenic shock (CS) is a critical condition characterized by low cardiac output leading to end-organ hypoperfusion and often multisystem organ failure, affecting up to 50,000 people annually in the United States. Acute myocardial infarction (AMI) is the primary cause, responsible for 81% of CS cases. Despite advancements in reperfusion therapies improving survival, in-hospital mortal...

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Literature Corpus work
cebea02d-8ff9-5caf-8d60-b41d7738558d
DOI
10.1101/2024.07.08.24310102
Open publication

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Interpretable Machine Learning-Based Clinical Predictive Model for Early Readmission in Patients with Cardiogenic ShockDOI 10.1101/2024.07.08.24310102
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