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

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

Abstract 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 predictio...

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Bibliographic Details
Main Authors: Yue Lin, Jia Shen Chen, Ni Zhong, Ao Zhang, Haiyan Pan
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Medical Research Methodology
Subjects:
Bayesian networks
Neonatal pneumonia
Naive Bayes network
Tree Augmented Naive Bayes model
K-Dependence Bayesian Classifier
Online Access:https://doi.org/10.1186/s12874-023-02070-9

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