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...

Full description

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

Internet

https://doi.org/10.1186/s12874-023-02070-9

Similar Items