Development and validation of a machine learning model for in-hospital mortality prediction in children under 5 years with heart failure

Development and validation of a machine learning model for in-hospital mortality prediction in children under 5 years with heart failure

BackgroundHeart failure (HF) in children under five years of age carries a high risk of in-hospital mortality, yet existing pediatric risk assessment tools lack specificity for this population. There is a pressing need for reliable, interpretable prediction models tailored to pediatric HF.MethodsWe...

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Bibliographic Details
Main Authors: Huasheng Lv, Fengyu Sun, Teng Yuan, Haoliang Shen, Lazaiyi Baheti, You Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Pediatrics
Subjects:
pediatric heart failure
in-hospital mortality
machine learning
risk prediction
interpretability
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2025.1608334/full
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