Using Bayesian network model with MMHC algorithm to detect risk factors for stroke

Using Bayesian network model with MMHC algorithm to detect risk factors for stroke

Stroke is a major chronic non-communicable disease with high incidence, high mortality, and high recurrence. To comprehensively digest its risk factors and take some relevant measures to lower its prevalence is of great significance. This study aimed to employ Bayesian Network (BN) model with Max-Mi...

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Bibliographic Details
Main Authors: Wenzhu Song, Lixia Qiu, Jianbo Qing, Wenqiang Zhi, Zhijian Zha, Xueli Hu, Zhiqi Qin, Hao Gong, Yafeng Li
Format: Article
Language:English
Published: AIMS Press 2022-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
stroke
bayesian network
logistic regression
risk factors
model construction
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2022637?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2022637?viewType=HTML

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