Article

Identification of Distinct Clinical Phenotypes of Cardiogenic Shock Using Machine Learning Consensus Clustering Approach

2023-01-11

Abstract excerpt

<title>Abstract</title> <p> Background Cardiogenic shock (CS) is a complex state with many underlying causes and associated outcomes. It is still difficult to differentiate between various CS phenotypes. We investigated if the CS phenotypes with distinctive clinical profiles and prognoses might be found using the machine learning (ML) consensus clustering approach. Methods The current study included patients who...

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Literature Corpus work: b17a1614-dd37-50a5-b4bf-12e086aedb09
DOI: 10.21203/rs.3.rs-1587034/v3

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