[Research of bleeding volume and method in blood-letting acupuncture therapy based on data mining].
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.
Xin
X
Liu
Chun-Sheng
CS
Jia
Jian-Ling
JL
Wang
Yu-Zhu
YZ
Du
Xiao-Xu
XX
Zhang
Jing
J
Shi
Xiao-Feng
XF
Li
Yan-Hui
YH
Sun
Shen
S
Zhang
Xuan-Ping
XP
Zhang
Wei-Juan
WJ
Gang
D015669:Acupuncture Points; D015670:Acupuncture Therapy / Q000379:methods / Q000706:statistics & numerical data*; D001815:Bloodletting / Q000379:methods / Q000706:statistics & numerical data*; D057225:Data Mining; D016208:Databases, Factual; D006801:Humans