Study on the Drug Selection Law for Treatment of Chronic Gastritis with Spleen Deficiency and Stomach Dryness by Complex System Entropy Cluster
Objective：To study on Prof. GAO Zhong-ying＇s drug selection law for treatment of chronic gastritis with data mining technique. Methods： The 407 medical records of chronic gastritis treated by Prof. GAO Zhong-ying were collected and the study on these drugs in the recipes was carried out with data mi...
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| Published in | Journal of traditional Chinese medicine Vol. 30; no. 4; pp. 294 - 298 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
China
01.12.2010
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0255-2922 |
| DOI | 10.1016/S0254-6272(10)60059-3 |
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| Abstract | Objective：To study on Prof. GAO Zhong-ying＇s drug selection law for treatment of chronic gastritis with data mining technique. Methods： The 407 medical records of chronic gastritis treated by Prof. GAO Zhong-ying were collected and the study on these drugs in the recipes was carried out with data mining method. Among them, the recipe composed of one drug was studied with frequency statistical method, correlativity between drug pairs with improved mutual information, correlativity among multi-drugs with complex system entropy cluster technique. Results： In treatment of chronic gastritis by Prof. GAO Zhong-ying there were 30 drugs with a higher use frequency of over 38 times, 94 commonly-used drug pairs with correlation coefficient of over 0.05, 11 commonly-used drug core combinations. Conclusion： The results attained with data mining technique for studying experience of famous and old TCM physicians conform to the clinical practice and the method is of an important significance for summarization of famous and old TCM physicians＇ experiences. |
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| AbstractList | Objective：To study on Prof. GAO Zhong-ying＇s drug selection law for treatment of chronic gastritis with data mining technique. Methods： The 407 medical records of chronic gastritis treated by Prof. GAO Zhong-ying were collected and the study on these drugs in the recipes was carried out with data mining method. Among them, the recipe composed of one drug was studied with frequency statistical method, correlativity between drug pairs with improved mutual information, correlativity among multi-drugs with complex system entropy cluster technique. Results： In treatment of chronic gastritis by Prof. GAO Zhong-ying there were 30 drugs with a higher use frequency of over 38 times, 94 commonly-used drug pairs with correlation coefficient of over 0.05, 11 commonly-used drug core combinations. Conclusion： The results attained with data mining technique for studying experience of famous and old TCM physicians conform to the clinical practice and the method is of an important significance for summarization of famous and old TCM physicians＇ experiences. To study on Prof. GAO Zhong-ying's drug selection law for treatment of chronic gastritis with data mining technique. The 407 medical records of chronic gastritis treated by Prof. GAO Zhong-ying were collected and the study on these drugs in the recipes was carried out with data mining method. Among them, the recipe composed of one drug was studied with frequency statistical method, correlativity between drug pairs with improved mutual information, correlativity among multi-drugs with complex system entropy cluster technique. In treatment of chronic gastritis by Prof. GAO Zhong-ying there were 30 drugs with a higher use frequency of over 38 times, 94 commonly-used drug pairs with correlation coefficient of over 0.05, 11 commonly-used drug core combinations. The results attained with data mining technique for studying experience of famous and old TCM physicians conform to the clinical practice and the method is of an important significance for summarization of famous and old TCM physicians' experiences. To study on Prof. GAO Zhong-ying's drug selection law for treatment of chronic gastritis with data mining technique.OBJECTIVETo study on Prof. GAO Zhong-ying's drug selection law for treatment of chronic gastritis with data mining technique.The 407 medical records of chronic gastritis treated by Prof. GAO Zhong-ying were collected and the study on these drugs in the recipes was carried out with data mining method. Among them, the recipe composed of one drug was studied with frequency statistical method, correlativity between drug pairs with improved mutual information, correlativity among multi-drugs with complex system entropy cluster technique.METHODSThe 407 medical records of chronic gastritis treated by Prof. GAO Zhong-ying were collected and the study on these drugs in the recipes was carried out with data mining method. Among them, the recipe composed of one drug was studied with frequency statistical method, correlativity between drug pairs with improved mutual information, correlativity among multi-drugs with complex system entropy cluster technique.In treatment of chronic gastritis by Prof. GAO Zhong-ying there were 30 drugs with a higher use frequency of over 38 times, 94 commonly-used drug pairs with correlation coefficient of over 0.05, 11 commonly-used drug core combinations.RESULTSIn treatment of chronic gastritis by Prof. GAO Zhong-ying there were 30 drugs with a higher use frequency of over 38 times, 94 commonly-used drug pairs with correlation coefficient of over 0.05, 11 commonly-used drug core combinations.The results attained with data mining technique for studying experience of famous and old TCM physicians conform to the clinical practice and the method is of an important significance for summarization of famous and old TCM physicians' experiences.CONCLUSIONThe results attained with data mining technique for studying experience of famous and old TCM physicians conform to the clinical practice and the method is of an important significance for summarization of famous and old TCM physicians' experiences. |
| Author | 史成和 王秀娟 陈建新 刘仁权 赵宇昊 杨洪军 |
| AuthorAffiliation | Section of Traditional Chinese Medicine, the Third Hospital, Peking University, Beijing 100191, China College of Traditional Chinese medicine, Capital University of Medicine, Beijing 100069, China Beijing University of Traditional Chinese Medicine, Beijing 100029, China Institute of Chinese Meteria Medica, China Academy of Chinese Medicine, Beijing 100700, China |
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| Notes | chronic gastritis （spleen deficiency and stomach dryness） complex system entropy cluster; famous and old TCM physicians＇ experiences; chronic gastritis （spleen deficiency and stomach dryness）; drug selection law S858.28 complex system entropy cluster drug selection law famous and old TCM physicians＇ experiences 11-2167/R TS262.91 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
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| Snippet | Objective：To study on Prof. GAO Zhong-ying＇s drug selection law for treatment of chronic gastritis with data mining technique. Methods： The 407 medical records... To study on Prof. GAO Zhong-ying's drug selection law for treatment of chronic gastritis with data mining technique. The 407 medical records of chronic... To study on Prof. GAO Zhong-ying's drug selection law for treatment of chronic gastritis with data mining technique.OBJECTIVETo study on Prof. GAO Zhong-ying's... |
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| SubjectTerms | Chemistry, Pharmaceutical Chronic Disease - therapy Data Mining Drug Combinations Drugs, Chinese Herbal - analysis Drugs, Chinese Herbal - therapeutic use Gastritis - drug therapy Gastritis - physiopathology Humans Spleen - physiopathology Stomach - physiopathology 复杂系统 慢性胃炎 数据挖掘技术 药物组成 |
| Title | Study on the Drug Selection Law for Treatment of Chronic Gastritis with Spleen Deficiency and Stomach Dryness by Complex System Entropy Cluster |
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