Research of bleeding volume and method in blood-letting acupuncture therapy based on data mining.
- Author:
Xin LIU
;
Chun-Sheng JIA
;
Jian-Ling WANG
;
Yu-Zhu DU
;
Xiao-Xu ZHANG
;
Jing SHI
;
Xiao-Feng LI
;
Yan-Hui SUN
;
Shen ZHANG
;
Xuan-Ping ZHANG
;
Wei-Juan GANG
- Publication Type:Journal Article
- MeSH:
Acupuncture Points;
Acupuncture Therapy;
methods;
statistics & numerical data;
Bloodletting;
methods;
statistics & numerical data;
Data Mining;
Databases, Factual;
Humans
- From:
Chinese Acupuncture & Moxibustion
2014;34(3):257-260
- CountryChina
- Language:Chinese
-
Abstract:
Through computer-based technology and data mining method, with treatment in cases of bloodletting acupuncture therapy in collected literature as sample data, the association rule in data mining was applied. According to self-built database platform, the data was input, arranged and summarized, and eventually required data was acquired to perform the data mining of bleeding volume and method in blood-letting acupuncture therapy, which summarized its application rules and clinical values to provide better guide for clinical practice. There were 9 kinds of blood-letting tools in the literature, in which the frequency of three-edge needle was the highest, accounting for 84.4% (1239/1468). The bleeding volume was classified into six levels, in which less volume (less than 0.1 mL) had the highest frequency (401 times). According to the results of the data mining, blood-letting acupuncture therapy was widely applied in clinical practice of acupuncture, in which use of three-edge needle and less volume (less than 0.1 mL) of blood were the most common, however, there was no central tendency in general.
