Enhancing stroke-associated pneumonia prediction in ischemic stroke: An interpretable Bayesian network approach

Age, risk of PI, NIHSS score, and CRP are significant predictors of SAP in IS patients. The interpretable BN model demonstrates superior predictive performance and interpretability, suggesting its potential as an effective and interpretable tool for clinical decision support in SAP risk assessment.

Authors

Yanqiu Ge (ORCID: https://orcid.org/0000-0003-1456-7254)
Jie Kuang (ORCID: https://orcid.org/0000-0002-0674-7266)
Zuting Liu (ORCID: https://orcid.org/0009-0006-0684-6025)
Tian Luo
Xingyu Liu (ORCID: https://orcid.org/0009-0007-3194-9496)
Jiangming Mo (ORCID: https://orcid.org/0009-0002-5989-0928)

Institutions

Nanchang University (CN)
First Affiliated Hospital of Nanchang University (CN)

Publication Details

Journal: Digital Health
Published: 2025-04-01
DOI: https://doi.org/10.1177/20552076251333568
Citations: 2
Primary Topic: Acute Ischemic Stroke Management
Type: article
Field-Weighted Citation Impact: 2.71

Funders

National Natural Science Foundation of China
Natural Science Foundation of Jiangxi Province

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article

Enhancing stroke-associated pneumonia prediction in ischemic stroke: An interpretable Bayesian network approach

Yanqiu Ge, Jie Kuang, Zuting Liu, Tian Luo et al.

Apr 1, 2025

2 citations

Digital Health

Acute Ischemic Stroke Management

2.71

article

Enhancing stroke-associated pneumonia prediction in ischemic stroke: An interpretable Bayesian network approach

Yanqiu Ge, Jie Kuang, Zuting Liu, Tian Luo, Xingyu Liu, Jiangming Mo

April 1, 2025article en

2 citations

Abstract

Age, risk of PI, NIHSS score, and CRP are significant predictors of SAP in IS patients. The interpretable BN model demonstrates superior predictive performance and interpretability, suggesting its potential as an effective and interpretable tool for clinical decision support in SAP risk assessment.

Digital HealthVol. 11

Nanchang University (CN), First Affiliated Hospital of Nanchang University (CN)

National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province

Good health and well-being

Openalex Percentile: Top 11%

Acute Ischemic Stroke Management

2.71

DOI Open Access PDF OpenAlex

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Enhancing stroke-associated pneumonia prediction in ischemic stroke: An interpretable Bayesian network approach — Yanqiu Ge, Jie Kuang, et al. · Digital Health (2025) | TGRS Research Map | TGRS