中国中医药信息杂志
中國中醫藥信息雜誌
중국중의약신식잡지
CHINESE JOURNAL OF INFORMATION ON TRADITIONAL CHINESE MEDICINE
2014年
9期
13-16
,共4页
张帆%任廷革%高全泉%刘晓峰%孙燕%陈永义%赵朋娜
張帆%任廷革%高全泉%劉曉峰%孫燕%陳永義%趙朋娜
장범%임정혁%고전천%류효봉%손연%진영의%조붕나
中医方剂%知识发掘%机器学习
中醫方劑%知識髮掘%機器學習
중의방제%지식발굴%궤기학습
TCM prescription%knowledge discovery%machine learning
目的:完善方剂知识发掘的方法,在提高方剂治法模型识别能力的同时,发现影响模型稳健性的关键因素。方法提出中医方剂智能分析系统(CPIAS)知识库的扩展和改进设计,如效-候关系启发式筛选规则的建立,效-素关系、效-素关系鉴别、素-证关系等知识表的创建。在此基础上,CPIAS计算出量化数据,应用中医方剂分类模式识别系统(CPSVM)进行方剂治法建模实验,并对学习结果进行分析。结果利用知识库扩展和改进后的计算结果构成数据样本时,CPSVM 机器学习水平明显提升。结论方剂功效筛选、方剂症状排序、方剂证素集合是影响中医方剂治法模型构建质量的关键性因素。
目的:完善方劑知識髮掘的方法,在提高方劑治法模型識彆能力的同時,髮現影響模型穩健性的關鍵因素。方法提齣中醫方劑智能分析繫統(CPIAS)知識庫的擴展和改進設計,如效-候關繫啟髮式篩選規則的建立,效-素關繫、效-素關繫鑒彆、素-證關繫等知識錶的創建。在此基礎上,CPIAS計算齣量化數據,應用中醫方劑分類模式識彆繫統(CPSVM)進行方劑治法建模實驗,併對學習結果進行分析。結果利用知識庫擴展和改進後的計算結果構成數據樣本時,CPSVM 機器學習水平明顯提升。結論方劑功效篩選、方劑癥狀排序、方劑證素集閤是影響中醫方劑治法模型構建質量的關鍵性因素。
목적:완선방제지식발굴적방법,재제고방제치법모형식별능력적동시,발현영향모형은건성적관건인소。방법제출중의방제지능분석계통(CPIAS)지식고적확전화개진설계,여효-후관계계발식사선규칙적건립,효-소관계、효-소관계감별、소-증관계등지식표적창건。재차기출상,CPIAS계산출양화수거,응용중의방제분류모식식별계통(CPSVM)진행방제치법건모실험,병대학습결과진행분석。결과이용지식고확전화개진후적계산결과구성수거양본시,CPSVM 궤기학습수평명현제승。결론방제공효사선、방제증상배서、방제증소집합시영향중의방제치법모형구건질량적관건성인소。
Objective To perfect the prescription knowledge discovery methods; To discover the key factors affecting the robustness of prescription therapeutic model as well as improve its recognition capability.Methods Expanded knowledge base and improved design of Chinese Medicine Prescriptions Intelligence Analytic System (CPIAS) were proposed, such as the establishment of the heuristic filtering rules of efficacy-syndrome relationship, knowledge table of efficacy-syndrome element relationship, identification of efficacy-syndrome element relationship, and syndrome element-syndrome relationship. In addition, quantitative data were calculated by CPIAS. Prescription therapeutic modeling experiments on the Chinese medicine prescriptions system were conducted based on support vector machine (CPSVM), which was also used to analyze the learning outcomes.Results Using expanded knowledge base and improved calculation results can significantly promote learning abilities of CPSVM.Conclusion Screening of efficacies, sorting of symptoms, and collection of syndrome elements are the key factors affecting the quality of prescription therapeutic model.