A Bayesian network perspective on neonatal pneumonia in pregnant women with diabetes mellitus

OBJECTIVE: To predict the influencing factors of neonatal pneumonia in pregnant women with diabetes mellitus using a Bayesian network model. By examining the intricate network connections between the numerous variables given by Bayesian networks (BN), this study aims to compare the prediction effect...

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Detalles Bibliográficos
Autores principales: Lin, Yue, Chen, Jia Shen, Zhong, Ni, Zhang, Ao, Pan, Haiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601254/
https://www.ncbi.nlm.nih.gov/pubmed/37880592
http://dx.doi.org/10.1186/s12874-023-02070-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601254/
https://www.ncbi.nlm.nih.gov/pubmed/37880592
http://dx.doi.org/10.1186/s12874-023-02070-9

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