Study on Main Treatment Diseases and Medication Rule in Sichuan Nanpai Tibetan Medicine Based on Data Mining
- VernacularTitle:基于数据挖掘的四川南派藏医药主治疾病及用药规律的研究
- Author:
Chengcheng ZHAO
1
;
Tong XU
2
;
Meigui TIAN
3
;
Huan DU
1
;
Gang FAN
2
;
Yi ZHANG
2
Author Information
1. School of Pharmacy，Chengdu University of TCM，Chengdu 611137，China
2. School of Ethnic Medicine，Chengdu University of TCM，Chengdu 611137，China
3. Dept. of Clinical Medicine，Dazhou Vocational and Technical College，Sichuan Dazhou 635001，China
- Publication Type:Journal Article
- Keywords:
Nanpai Tibetan medicine;
Main treatment diseases;
Medication rule;
TCM inheritance support system;
Data mining
- From:
China Pharmacy
2019;30(19):2662-2667
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE： To study the academic characteristics and connotation of Sichuan Nanpai Tibetan medicine （SNTM）， to provide relevant information for the inheritance and development of Nanpai Tibetan medicine， and to provide reference for the development and utilization of commonly used medicinal materials in SNTM. METHODS： The type characteristics， medication frequency， main treatment disease and medication rule of 672 preparations of Tibetan hospital of SNTM were analyzed by means of data mining， statistical analysis and inductive deduction methods of TCM inheritance support system （TCMISS）. Based on the core combination drugs， the new prescriptions were evolved by the entropy hierarchical clustering method. RESULTS： A total of 624 medicinal materials were used in formulation of SNTM， involving 509 plant drugs （81.67％）， 61 mineral drugs （9.77％） and 54 animal drugs （8.65％）. There were 16 medicines with frequency＞120； among them， top 3 medicines were Terminalia chebula （57.44％）， Carthamus tinctorius （43.15％） and Aucklandia lappa （42.26％）. Main treatment diseases involved 13 categories， and top 3 categories were gastric diseases （28.13％）， hepatobiliary diseases （12.80％） and neurological diseases （11.90％）. In the treatment of stomach diseases， T. chebula， C. tinctorius， Alpinia katsumadai， Piper longum， A. lappa and Punica granatum were mainly used； totally 61 commonly used drug combinations were obtained and the most commonly used combination was P. longum-A. katsumadai. In the treatment of hepatobiliary diseases， T. chebula， C. tinctorius， Herpetospermum caudigerum， Swertia bimaculata， Zhaxun were mainly used； 64 commonly used drug combinations were obtained and the most commonly used combination is T. chebula-C. tinctorius. In the treatment of neurological diseases， Myristica fragrans， T. chebula， A. lappa， Syzygium aromaticum， Aquilaria sinensis， Choerospondias axillaris were mainly used； 73 commonly used drug combinations were obtained， and the most commonly used combination was T. chebula-M. fragrans. 5 candidate new formulations had been evolved by the entropy hierarchical clustering method， involving Lacciferlacca-Lithospermum erythrorhizon-Rubia cordifolia- Punica granatum. CONCLUSIONS： Obtained high frequency drug pairs and evolved new candidate formulation based on the core combinations drugs of SNTM for commonly diseases can provide reference for the development of modern new Tibetan medicines for gastric， hepatobiliary and neurological diseases.
