Phenotype discovery and mortality prediction in sepsis-induced myocardial dysfunction: a deep learning and stratified modeling approach.

Abstract excerpt

Sepsis-induced myocardial dysfunction (SIMD) is a common and heterogeneous complication in patients with sepsis and is associated with increased mortality. This study aimed to identify distinct clinical phenotypes of SIMD using unsupervised deep learning and to develop an optimal short-term survival prediction model based on phenotypic stratification. Data from SIMD patients in the MIMIC-III and MIMIC-IV...

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