• Department of Epidemiology, School of Public Health, Jiangxi Medical College, Nanchang University; Jiangxi Provincial Key Laboratory of Disease Prevention and Public Health, Nanchang University, Nanchang 330006, P. R. China;
KUANG Jie, Email: kuangjie@ncu.edu.cn
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This study introduced the construction of individualized risk assessment model based on Bayesian networks, comparing with traditional regression-based logistic models using practical examples. It evaluates the model's performance and demonstrates its implementation in the R software, serving as a valuable reference for researchers seeking to understand and utilize Bayesian network models.

Citation: LIU Xingyu, RAO Qingyu, LIU Zuting, MO Jiali, YAN Chun, LIU Jin, DU Huijie, LU Yi, KUANG Jie. Individualized risk assessment model based on Bayesian networks and implementation by R software. Chinese Journal of Evidence-Based Medicine, 2024, 24(11): 1325-1331. doi: 10.7507/1672-2531.202405072 Copy

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