Article

Identifying Cardiogenic Shock Sub-Phenotypes with Machine Learning: A Multicenter Study Combining Clinical and Echocardiographic Data

2025-05-01

Abstract excerpt

<h4>Background</h4> Sub-phenotyping cardiogenic shock (CS) patients using non-traditional clustering methods represents a step toward precision medicine, potentially improving outcomes in this heterogeneous and high-mortality condition. This study aimed to apply an unsupervised machine learning approach to integrate clinical and advanced echocardiographic data, identifying CS sub-phenotypes associated with differe...

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Literature Corpus work: c88da64d-5f73-57c0-9dd7-2139d637a67a
DOI: 10.1101/2025.04.28.25326615

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