Four properties law of nature data of Chinese materia medica in "Chinese herbal medicine (CHM)" / 中国中药杂志

<p><b>OBJECTIVE</b>In order to provide theoretical clues and data support for the use of Chinese medicine clinical drug, experimental study of Chinese materia medica and development of new resources of Chinese materia medica, the four properties as the core, the relationships of property, flavor, channel tropism and toxicity in nature data of Chinese materia medica were analyzed.</p><p><b>METHOD</b>The spearman rank correlation method was employed to analyze 8 356 Chinese drugs with characteristic of four properties from " Chinese Herbal Medicine" based on data level coding.</p><p><b>RESULT</b>It was discovered that four properties showed significant positive correlations with tastes of "pungent and sweet" , channels of "spleen" , "stomach" , "kidney" and "toxicity" , but also showed significant negative correlations with tastes of "bitter" and "light" and six channels such as "large intestine" , "heart", "bladder" , "gallbladder" , "small intestine" and "lung" (in descending order of correlation ) (P <0. 01).</p><p><b>CONCLUSION</b>It was indicated that the more hot the Chinese medicine nature, the more possible it contained "toxicity" , tastes of "pungent" and "sweet" , and the more possible it was belong to channels of "spleen" , "stomach" and "kidney". As well, the more cold the Chinese medicine nature, the more possible it contained tastes of "bitter" and "light", and the more possible it was belong to six channels such as "large intestine", etc.</p>

Mining rules on determination of four properties based on traditional Chinese medicine functional combination / 中国中药杂志

<p><b>OBJECTIVE</b>It laid the foundation of the large sample data mining for a comprehensive summary concerning four properties theory of traditional Chinese medicine (TCM), and also provided theory clues on determination of four properties for the new resource development of TCM and the clinical use of Chinese medicine.</p><p><b>METHOD</b>Four properties data of 8 980 Chinese medicines from "Chinese herbal medicine (CHM)" and associated function index data were chose as data sets. Then, the IBM SPSS Clementine 14.1 data mining platform and Apriori model were adopted to mining classification-association rules, setting the minimum support threshold of rule antecedent and the minimum confidence threshold as 0.5% and 60%.</p><p><b>RESULT</b>11 classification-association rules involved in warm, cold and mild natures were found.</p><p><b>CONCLUSION</b>It was discovered that the TCM with functions of "dispelling wind-cold, warming the middle, stopping pain and expelling wind-removing dampness, tonifying kidney yang, unblocking meridians and expelling wind-removing dampness, dispelling cold to stop pain, strengthening sinews-bones and expelling wind-removing dampness" was likely warm-natured, with functions of "tonifying the lung" was likely mild-natured, and with functions of " clearing heat and drying dampness, clearing heat and purging fire, eliminating restlessness" was likely cold-natured.</p>

Research and analysis of data source--analysis of the items of medical plants in Xiandai Bencao Gangmu / 中国中药杂志

Scientific data is the source of innovation in knowledge. In order to change the situation that there is few information in plenty of data and to obtain useful knowledge which has high information content, it is necessary to clean data and ensure data's accuracy and without noise off when database is established initially. High-quality data comes from high-quality data source. But incomplete and incorrect and irregular data exist widely in the data source of Chinese materia medica. The phenomenon of synonyms and homonym is quite serious, and there is no unified description for the name and origin of Chinese materia medica among different data sources. So data processing including data analysis and research is very important in the establishment of Chinese materia medica database. In order to get the most accurate and standard data, this paper analyzed the items of Medical Plants in Xiandai Bencao Gangmu, including classification analysis of medical plants: distribution analysis of different classes and analysis of medical part; analysis of synonyms and homonym; analysis of incorrect data and analysis of advantage and disadvantage of data sources.

Discussion on optimizing data processing of Chinese materia medica / 中国中药杂志

Correct data without noise is the basis for obtaining useful information and knowledge. The database system of Chinese materia medica is the application of database technology in the field of Chinese materia medica. Its establishment is based on the analysis, processing and supplementary of much irregular raw data during studying Chinese materia medica information. This paper reviewed several key problems in the data processing of Chinese materia medica based on the information system of Chinese herbal medicine that we are constructing.