Using Bayesian networks with tabu algorithm to explore factors related to chronic kidney disease with mental illness: A cross-sectional study

Using Bayesian networks with tabu algorithm to explore factors related to chronic kidney disease with mental illness: A cross-sectional study

While Bayesian networks (BNs) offer a promising approach to discussing factors related to many diseases, little attention has been poured into chronic kidney disease with mental illness (KDMI) using BNs. This study aimed to explore the complex network relationships between KDMI and its related facto...

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Bibliographic Details
Main Authors: Xiaoli Yuan, Wenzhu Song, Yaheng Li, Qili Wang, Jianbo Qing, Wenqiang Zhi, Huimin Han, Zhiqi Qin, Hao Gong, Guohua Hou, Yafeng Li
Format: Article
Language:English
Published: AIMS Press 2023-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
bayesian networks
chronic kidney disease with mental illness (kdmi)
tabu algorithm
related factors
model construction
elastic net
propensity score matching
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023723?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023723?viewType=HTML

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