伤寒论“药效-证型”分析数据包络分析(DEA)量化建模“词计算”方法研究  

Word-Computing Algorithm Based on Data Envelopment Analysis with the Corresponding Dose Effect-Medicinal Patterns of Shanghanlun

作　　者：孟庆波[1,2] 尹怡欣[1] 杨国平[3] 张德政[4] 

机构地区：[1]北京科技大学自动化学院,北京100083 [2]浙江机电职业技术学院,杭州310053 [3]浙江中医药大学信息技术学院,杭州310053 [4]北京科技大学计算机与通信工程学院,北京100083

出　　处：《中国药学杂志》2013年第13期1131-1136,共6页Chinese Pharmaceutical Journal

基　　金：十二五国家科技支撑项目(2013BAI13B06);基础研究发展计划(973计划)(2009CB522701);浙江省教育厅科研项目;数据包络分析方法的中医证候量化尺度研究(Y201328842)

摘　　要：目的建立中医"词计算"的数据包络分析(DEA)量化推理模型。方法 首先,以"伤寒论"方剂为资料来源,建立证候集合,并以症状的词语描述为依据,给出证候状态的主观量度值;其次,以处方药量为数据来源,以数据包络分析为评判规则,对主观量度值进行数据包络分析修正,建立典型方剂中医证候的数据包络分析量化模型;最后,利用该模型进行推理计算,完成方证对应资料的"词计算"。结果 推理结果表明,该模型能够反映"伤寒论"体系辨证论治的思维规律。结论 数据包络分析模型能够作为一种信息载体加载典型方剂语言描述所包含的中医证候规律,为中医的科学化表达提供了一种思路。Objective To construct the data envelopment analysis （DEA） inference model for word-computing. Methods Firstly, a syndrome assembly was established based on the Chinese medical patterns contained in Shanghanlun, then the subjective evaluation was set by the linguistic description for the corresponding patterns. Secondly, with the data of decoctions, the evaluation was modified according to the requirement of DEA to construct the inference model. Finally, the word-computing was completed by the inference function of this model. Results DEA model could describe the diagnostic thinking process of Shanghanlun theory. Conclusion DEA model can upload the information embodied among the words of the corresponding classical doses and symptoms, and it provides a kind of method for modernization of traditional Chinese medicine.

关 键 词：词计算 数据包络分析 “证-症”对应 量化表达 数据包络分析推理模型 

分 类 号：R222[医药卫生—中医基础理论]