基于中医证型知识库的辨证模型研究  

Study on the Model of Syndrome Differentiation Based on the Knowledge Base of Traditional Chinese Medicine Syndrome

作　　者：张鑫[1] 查青林[2] 杜建强[1] 聂斌[1] 刘博[1] 刘蕾[1] 

机构地区：[1]江西中医药大学计算机学院,南昌330004 [2]江西中医药大学医药信息研究中心,南昌330004

出　　处：《中国中西医结合杂志》2017年第11期1392-1395,共4页Chinese Journal of Integrated Traditional and Western Medicine

基　　金：国家自然科学基金资助项目(No.61363042;No.61562045);江西省高校科技落地计划(No.LD12038);江西省研究生创新基金项目(No.YC2014-S278)

摘　　要：目的研究一种基于中医证型知识库的辨证模型,为计算机辅助辨证提供模型支持。方法在"对象—属性—属性值"三元组(OAV)证型知识规则表示方法的基础上,依据关联规则算法计算症状体征—证型的置信度,以证型为基准进行归一化处理后的置信度作为症状体征—证型的权值因子,证型知识规则因此表示为"对象—属性—属性值—权值"(OAVW);基于OAVW知识规则,通过计算激活证型的症状体征的权值和,来辅助判断患者所属的证型;并以文献中的证型描述为验证数据,采用该模型进行计算机模拟辨证,以验证模型的适用性。结果来自文献的肺阴虚证临床表现,经过模拟辨证分析,得到各证型的权值和依次为肺阴虚证(1.0)、心肺阴虚证(0.676)、心肺阴虚血瘀证(0.608),辨证结果与文献相符,并提供了更多相关证型的信息。结论基于中医证型知识库的辨证模型在肺阴虚证上的实验结果表明该模型具有理论正确性和可行性,可以为计算机辅助辨证提供一定模型支持。Objective To study a model of syndrome differentiation based on the knowledge base of Traditional Chinese Medicine（TCM） syndrome, thus providing model supports for the computer- aided syndrome differentiation. Methods On the foundation of the syndrome knowledge rules represen- tation method of ＂object-attribute-value＂ triples （OAV）, the confidence of symptoms to syndrome was calculated based on association rules algorithm, and then the confidence was normalized based on syn- drome, which is the weight factor （WF） of symptoms to syndrome, so the syndrome knowledge rules can be represented as ＂object-attribute-value-weight＂（OAVW）. Based on OAVW knowledge rules, the sum of WF for all activated symptoms of the syndrome was calculated, which could aid to determine the syndrome of a patient. The author took the description of syndrome from literature as validation data, and put it to the model to simulate syndrome differentiation, to validate the applicability of the model. Results Clinical manifestation of Fei yin deficiency syndrome was from literature, through simulation a- nalysis of syndrome differentiation, the sum of WF of each syndrome was as follow- Fei yin deficiency syndrome（1.0）, heart and lung yin deficiency syndrome（0. 676）, Xin and Fei yin deficiency and blood stasis syndrome（0.608）, the results of syndrome differentiation were consistent with the literature, and provided more information about the related syndromes. Conclusion By experiment of Fei yin deficiency syndrome, the result shows that the model of syndrome differentiation based on the knowledge base of TCM syndrome has theoretical correctness and feasibility, and it could provide model supports for the computer-aided syndrome differentiation.

关 键 词：“对象—属性—属性值”三元组 中医证型 置信度 辨证模型 权值 中医药信息 

分 类 号：R24[医药卫生—中医临床基础] TP311.13[医药卫生—中医学]