摘要
贝叶斯网是以传统概率理论为基础,能够对复杂不确定系统进行推理和建模的有效工具。辨证论治是中医学的基本特点之一,传统的辨证方法往往带有主观性和模糊性,而中医辨证本质可以看作是一个分类问题,贝叶斯网作为对信息进行数据挖掘的一种较好算法,将为中医辨证客观化、规范化研究开辟新的途径。
Bayesian network is the effective tool for reasoning and modeling of complex and uncertain system based on traditional probability theory.Syndrome differentiation and treatment is one of the basic characteristics of traditional Chinese medicine（TCM）,the traditional methods are often with subjective differentiation and ambiguity,and the essence of syndrome differentiation of TCM can be seen as a classification problem.Bayesian network,as a better algorithm of data mining,which will strike out a new path for the analysis on standardization and objectification of syndrome differentiation of TCM.
出处
《中华中医药杂志》
CAS
CSCD
北大核心
2012年第12期3168-3171,共4页
China Journal of Traditional Chinese Medicine and Pharmacy
基金
上海市第三期重点学科(No.S30302)~~
关键词
贝叶斯网
中医
辨证
研究进展
Bayesian network
TCM
Syndrome differentiation
Review
