Exploring stroke risk factors in different genders using Bayesian networks: a cross-sectional study involving a population of 134,382

Exploring stroke risk factors in different genders using Bayesian networks: a cross-sectional study involving a population of 134,382

Abstract Background The exploration of stroke risk factors provides crucial information for healthcare planning and priority setting. This study aims to utilize Bayesian network modeling to explore stroke risk factors in different genders. Methods We collected data from 10 cities and 13 counties in...

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Bibliographic Details
Main Authors: Liqin Linghu, Yaxin Huang, Lixia Qiu, Xuchun Wang, Jia Zhang, Lin Ma, chenglian Li, Lijie Wang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Public Health
Subjects:
Stroke
Bayesian network
Risk factors
Different genders
Online Access:https://doi.org/10.1186/s12889-025-23946-z
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