Developing and validating a machine learning model to predict multidrug-resistant Klebsiella pneumoniae-related septic shock

Developing and validating a machine learning model to predict multidrug-resistant Klebsiella pneumoniae-related septic shock

BackgroundMultidrug-resistant Klebsiella pneumoniae (MDR-KP) infections pose a significant global healthcare challenge, particularly due to the high mortality risk associated with septic shock. This study aimed to develop and validate a machine learning-based model to predict the risk of MDR-KP-asso...

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Bibliographic Details
Main Authors: Shengnan Pan, Ting Shi, Jinling Ji, Kai Wang, Kun Jiang, Yabin Yu, Chang Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Immunology
Subjects:
multidrug-resistant Klebsiella pneumoniae
septic shock
machine learning
predictive model
risk factors
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1539465/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2024.1539465/full

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