贝叶斯网络在映射法中的应用

目的:通过介绍贝叶斯法的基本原理及贝叶斯网络的主要内容,探究贝叶斯网络在映射法的优势及应用现状,进一步推进其在映射法的应用。方法:采用文献研究的方法,对国内外已发表的贝叶斯网络在映射法中应用的文献进行回顾分析,研究其在映射法中的应用现状与发展前景。结果与结论:目前,关于映射法中映射模型的优劣性尚无一致定论。贝叶斯网络作为一种基于反应水平的映射转换模型,以节点间的概率分布表作为模型构建的直接结果,从而确定一种健康状态。同时,该方法综合利用先验信息和样本信息,提高了统计推断的精确度和可信性,能够较好地弥补目前常用映射模型的不足。

The Application of Bayesian Network in Mapping Method

Objective:To further promote the application of Bayesian method in the field of Pharmacoeconomics by introducing the basic principle and main contents of Bayesian network,exploring the advantages and application status of Bayesian network in mapping.Methods:The literature research method is used to retrospectively analyze the literatures applied in the mapping method of Bayesian networks published at home and abroad,and to study its application status and development prospects in mapping.Results and Conclusion:At present,there is no consistent conclusion about the merits and demerits of the mapping model in the mapping method.Bayesian network is a kind of mapping transformation model based on response level.The probability distribution table between nodes is used as a direct result of model construction to determine a healthy state rather than a health utility value.At the same time,the method improves the accuracy and credibility of statistical inference by comprehensively utilizing a priori information and sample information,and can better compensate for the shortcomings of the current common mapping models.