Stratify severe risk in children with respiratory syncytial virus pneumonia—A retrospective study based on machine learning and SHAP interpretation

BackgroundRespiratory syncytial virus (RSV) is the primary pathogen causing severe lower respiratory tract infections in children, imposing a significant disease burden worldwide. The clinical manifestation of respiratory syncytial virus is not highly specific, in severe cases, it may cause a severe...

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Главные авторы:	Jun-An Pan, Wen-Hao Yang, Chao-Fen Wu, Min Zhou, Juan Liu, Li-Na Chen
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Frontiers Media S.A. 2026-03-01
Серии:	Frontiers in Pediatrics
Предметы:	children machine learning pneumonia respiratory syncytial virus (RSV) shapley additive explanations (SHAP)
Online-ссылка:	https://www.frontiersin.org/articles/10.3389/fped.2026.1775752/full
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