Establishment of a Machine Learning‐Based Prediction Model for Short‐Term Adverse Prognosis in Neonatal Bacterial Meningitis

ABSTRACT Background Neonatal bacterial meningitis (NBM) is an extremely severe disease in the neonatal period. Early identification of high‐risk infants is critical for timely intervention, yet prognostic assessment remains challenging due to nonspecific symptoms and variable clinical trajectories....

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Autors principals:	Ying Chen, Shengpei Wang, Chi Wang, Na Zhang, Ying Li, Hangting Shi, Peicen Zou, Huiguang He, Yajuan Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2025-09-01
Col·lecció:	iLABMED
Matèries:	machine learning neonatal bacterial meningitis predictive model prognosis
Accés en línia:	https://doi.org/10.1002/ila2.70030
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