Impact of blood culture positivity at intensive care unit admission on mortality in infective endocarditis: Machine learning and deep learning-based causal inference models

Blood culture positivity at ICU admission is associated with a modest yet clinically significant increase in in-hospital mortality among IE patients. The application of advanced machine learning and causal inference models enhances risk stratification and may inform more targeted clinical interventions in this high-risk group.

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Publication Details

Journal
PLoS ONE
Published
2025-11-06
DOI
https://doi.org/10.1371/journal.pone.0333351
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of blood culture positivity at intensive care unit admission on mortality in infective endocarditis: Machine learning and deep learning-based causal inference models

Yoonjin Kang, Min Woo Kang, Shin Young Ahn
PLoS ONE
Sepsis Diagnosis and Treatment
article

Impact of blood culture positivity at intensive care unit admission on mortality in infective endocarditis: Machine learning and deep learning-based causal inference models

Yoonjin Kang, Min Woo Kang, Shin Young Ahn
article en

Abstract

Blood culture positivity at ICU admission is associated with a modest yet clinically significant increase in in-hospital mortality among IE patients. The application of advanced machine learning and causal inference models enhances risk stratification and may inform more targeted clinical interventions in this high-risk group.

PLoS ONEVol. 20(11)
Seoul National University (KR), Korea University Medical Center (KR), Seoul National University Hospital (KR)
Openalex Percentile: Top 56%
Sepsis Diagnosis and Treatment
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