基于贝叶斯网络的个体化风险评估模型及R语言实现

Individualized risk assessment model based on Bayesian networks and implementation by R software

本研究介绍了贝叶斯网络个体化风险评估模型的构建方法,使用实例与传统基于回归的Logistic模型进行对比,对该模型的性能进行评价,并使用R语言进行演示说明,为研究者理解与应用贝叶斯网络模型提供参考。

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.