四君子類方配伍規(guī)律的多維量化分析

1、成都中醫(yī)藥大學(xué)碩士學(xué)位論文四君子類方配伍規(guī)律的多維量化分析姓名：張昱申請學(xué)位級別：碩士專業(yè)：方劑學(xué)指導(dǎo)教師：蔣永光2008-05成都中醫(yī)藥大學(xué) 2005 碩士學(xué)位論文 3Abstract Objective: To research the compatibility disciplinarians of Si Jun Zi Tang serial Prescription and correspondence rules of For

2、mula- Herb-Syndrome-Symptoms by application of data mining technology. Methods: Pre-treat the data of herbs, symptoms, etc. in order to built a 959-formula-Si Jun Zi Decoction database, which can be available for data

3、 mining. Select related KDD methods according to research requirements and data varieties. The final mission is to apply multi-dimension quantification analysis to Sijunzi Decoction analogous formulae. Results: (1) Ingre

4、dients Analysis: under the condition of minimal supp.= 2.00% and minimal conf.=10.00% , the high frequency herbs are Renshen, Fuling, Baizhu, Danggui, Chenpi, Huangqi, etc.; the central couplet herbs are Danggui-Huangqi,

5、 Huangqi-Baizhu, Baizhu-chenpi, Danggui- Baishao, etc.; the central herbal groups are Dangui-Baishao-Chuanxiong, Huangqi-Danggui-Baishao, Chenpi-Dazao-Shengjiang, etc. The compatibility disciplinarian of Sijunzi Decoctio

6、n modifications have also been discovered. Tonifying herbs, exterior syndrome releasing herbs and dampness eliminating herbs take priority place among all the categories according to herb classification analysis. (2) Syn

7、drome-herb analysis: the high frequency syndrome patterns are spleen and stomach qi deficiency, heart qi deficiency and nutritive qi deficiency, etc. (3) Under the condition of minimal supp= 2.00% and minimal conf=10.00%

8、, the high frequency symptoms are poor appetite, vomiting, fatigue, etc. . The central symptom groups are [loose stools, poor appetite, abdominal distension], [fatigue, short of qi deficiency, weak pulse], etc. The corr

9、espondence relationships between couplet herbs and symptoms have also been analyzed based on the appointed herbs and common symptoms. Conclusion: This research applied multi-dimensional quantization study on compatibilit

10、y disciplinarian of Sijunzi Decoction analogous formulas by using KDD techniques. This research creates a computer study method of analyzing analogous formulas’s compatibility disciplinarian and builds a relatively compl

11、eted and sensible database, which could be available for data mining. This research found a computer analyzing method for ancient formulas, herbs and symptoms. Key words: Sijunzi Decoction analogous formulae, Compatibi