Application of a novel hybrid algorithm of Bayesian network in the study of hyperlipidemia related factors: a cross-sectional study

Application of a novel hybrid algorithm of Bayesian network in the study of hyperlipidemia related factors: a cross-sectional study

Abstract Background This article aims to understand the prevalence of hyperlipidemia and its related factors in Shanxi Province. On the basis of multivariate Logistic regression analysis to find out the influencing factors closely related to hyperlipidemia, the complex network connection between var...

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Bibliographic Details
Main Authors: Xuchun Wang, Jinhua Pan, Zeping Ren, Mengmeng Zhai, Zhuang Zhang, Hao Ren, Weimei Song, Yuling He, Chenglian Li, Xiaojuan Yang, Meichen Li, Dichen Quan, Limin Chen, Lixia Qiu
Format: Article
Language:English
Published: BMC 2021-07-01
Series:BMC Public Health
Subjects:
Hyperlipidemia
Bayesian network
Hybrid algorithm
Inter. Iamb-Tabu
Online Access:https://doi.org/10.1186/s12889-021-11412-5

Internet

https://doi.org/10.1186/s12889-021-11412-5

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