Machine learning derivation of two cardiac arrest subphenotypes with distinct responses to treatment

Machine learning derivation of two cardiac arrest subphenotypes with distinct responses to treatment

Abstract Introduction Cardiac arrest (CA), characterized by its heterogeneity, poses challenges in patient management. This study aimed to identify clinical subphenotypes in CA patients to aid in patient classification, prognosis assessment, and treatment decision-making. Methods For this study, com...

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Bibliographic Details
Main Authors: Weidong Zhang, Chenxi Wu, Peifeng Ni, Sheng Zhang, Hongwei Zhang, Ying Zhu, Wei Hu, Mengyuan Diao
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Journal of Translational Medicine
Subjects:
Cardiac arrest
Machine learning
Subphenotypes
Precision medicine
Critically illness
Latent class analysis
Online Access:https://doi.org/10.1186/s12967-024-05975-1
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https://doi.org/10.1186/s12967-024-05975-1

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