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...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Jun-An Pan, Wen-Hao Yang, Chao-Fen Wu, Min Zhou, Juan Liu, Li-Na Chen
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Frontiers Media S.A. 2026-03-01
Serie:	Frontiers in Pediatrics
Ämnen:	children machine learning pneumonia respiratory syncytial virus (RSV) shapley additive explanations (SHAP)
Länkar:	https://www.frontiersin.org/articles/10.3389/fped.2026.1775752/full
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!