1.Generic Association Analysis on "Prescription-Formula-Dosage-Property" of Tibetan Medicine Based on Partial Order Structure and Property Theory
Dang-zhi WENCHENG ; Wang-jia RENZHEN ; Zha-xi GAZANG ; Duo-jie GERI ; Nan-jia CAIRANG ; Jia YU ; Cai-dan REZENG
Chinese Journal of Experimental Traditional Medical Formulae 2021;27(9):184-192
Objective:In view of the complexity of the "Prescription-Formula-Dosage-Property" relationship of Tibetan medicine and the outstanding common relationship,it is difficult to reveal the hidden and specific rules of clinical medication of Tibetan medicine. Method:Based on the attribute partial order structure and the vector structure model of "Ro-Nus-Zhu-Rjes"(Taste,Post-Digestive Tastes and Potency),clustering analysis and other methods and software,this study analyzed the "Prescription-Formula-Dosage-Property" relationship of 184 commonly used prescriptions in the 1995 edition of the standards issued by the Ministry of Tibetan medicine(SIMTM). Result:Among them,the analysis of the relationship between prescription and formula found that 11 prescriptions with the largest common attribute,such as Chebulae Fructus and Carthami Flos,were the key components of classification and compatibility,which could effectively classify the 8 kinds of prescriptions for the treatment of lung disease,tripa disease and blood fever. Among them,the san Yin and auxiliary viscera function prescriptions,such as Sanguotang powder and Liuwei Liangyao powder,had the strongest commonality. According to the analysis of relationship between formula and dosage ,the dosage of Chebulae Fructus,Carthami Flos,pomegranate seed,Phyllanthi Fructus was the highest,which suggested that these drugs were often used as primary drugs,while the Liuwei Liangyao powder,such as Amomi Fructus Rotundus and Tsaoko Fructus,had a higher frequency but a lower dose,which mainly played a role in regulating the overall drug property of the prescription and protecting the viscera. The Tibetan medicine-specific drugs including Moschus,Bovis Calculus,and Zhaxun,which were used in a high frequency but very low dose,had the effect of enhancing the drug property and guiding the affected part. According to the analysis of the relationship between dosage and property,there were many prescriptions belonging to cool nature,accounting for 75.6%. It was found that 67 prescriptions did not conform to the efficacy due to their different dosage. Conclusion:There are many common components and common usages in Tibetan medicine prescriptions. If these common associations are not treated,it will lead to the result that all diseases take these common associations as the core,but the hidden key factors cannot be solved. Therefore,it is necessary to pay attention to sensitivity and specificity at the multi-dimensional level of "prescription-formula-dosage-property",so as to reveal the clinical medication thought of Tibetan medicine more effectively.
2.Construction of Tibetan Medicine Prescription Database for Treating "Gnyan-rims" and Analysis of Their Medication Law Based on Python Language
Dang-zhi WENCHENG ; Chen-lei GANGHUAN ; Cai-dan REZENG ; Za-xi GAZANG ; Dong-zhi GONGBAO ; Nan-jia CAIRANG
Chinese Journal of Experimental Traditional Medical Formulae 2021;27(14):193-198
Objective:To construct the database of Tibetan medicine prescriptions for "Gnyan-rims" disease, and to explore the invisible medication law of Tibetan medicine in the treatment of "Gnyan-rims" disease, such as prescription compatibility and combination of drug properties. Method:The prescriptions for treating "Gnyan-rims" were retrieved from four Tibetan medical literatures such as
3.Exploration and practice on construction of Tibetan medicine prescription information database and knowledge discovery.
Dang-Zhi WENCHENG ; Gai-Cuo DONG ; Nan-Jia CAIRANG ; Dong-Zhi GONGBAO ; Duo-Jie GERI ; Yong-Zhong ZEWENG ; Ci-Ren LABA
China Journal of Chinese Materia Medica 2023;48(6):1682-1690
This study aimed to explore the underlying framework and data characteristics of Tibetan prescription information. The information on Tibetan medicine prescriptions was collected based on 11 Tibetan medicine classics, such as Four Medical Canons(Si Bu Yi Dian). The optimal classification method was used to summarize the information structure of Tibetan medicine prescriptions and sort out the key problems and solutions in data collection, standardization, translation, and analysis. A total of 11 316 prescriptions were collected, involving 139 011 entries and 63 567 pieces of efficacy information of drugs in prescriptions. The information on Tibe-tan medicine prescriptions could be summarized into a "seven-in-one" framework of "serial number-source-name-composition-efficacy-appendix-remarks" and 18 expansion layers, which contained all information related to the inheritance, processing, origin, dosage, semantics, etc. of prescriptions. Based on the framework, this study proposed a "historical timeline" method for mining the origin of prescription inheritance, a "one body and five layers" method for formulating prescription drug specifications, a "link-split-link" method for constructing efficacy information, and an advanced algorithm suitable for the research of Tibetan prescription knowledge discovery. Tibetan medicine prescriptions have obvious characteristics and advantages under the guidance of the theories of "three factors", "five sources", and "Ro-nus-zhu-rjes" of Tibetan medicine. Based on the characteristics of Tibetan medicine prescriptions, this study proposed a multi-level and multi-attribute underlying data architecture, providing new methods and models for the construction of Tibetan medicine prescription information database and knowledge discovery and improving the consistency and interoperability of Tibetan medicine prescription information with standards at all levels, which is expected to realize the "ancient and modern connection-cleaning up the source-data sharing", so as to promote the informatization and modernization research path of Tibetan medicine prescriptions.
Medicine, Tibetan Traditional
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Knowledge Discovery
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Drug Prescriptions
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Databases, Factual
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Algorithms
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Medicine, Chinese Traditional
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Drugs, Chinese Herbal/therapeutic use*