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

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