REN Yu-lan, LIANG Fan-rong. Review of Literature on the Specificity of Therapeutic Effects of Acupoints on the Basis of Data Mining[J]. Acupuncture research, 2009, 34(3): 199-201.
DOI:
REN Yu-lan, LIANG Fan-rong. Review of Literature on the Specificity of Therapeutic Effects of Acupoints on the Basis of Data Mining[J]. Acupuncture research, 2009, 34(3): 199-201.DOI:
Review of Literature on the Specificity of Therapeutic Effects of Acupoints on the Basis of Data Mining
The specificity of the therapeutic effect of acupoints is an important research subject in acu-moxibustion medicine
but is short of systematic and profound literature review by using modern science and technology.The modern data mining technique provides a new reliable technique or an approach for assessing the relative specificity of the acupoint efficacy from literature reviewing angle.In order to explore the basic regularities of the specificity of acupoint efficacy
a data-library of acu-moxibustion literature should be established first
followed by setting up a data analysis model for which the acupoint prescriptions are considered to be the basis
and by establishing a data mining methodological system.
Analysis on acupoint compatibility regularity and application characteristics of moxibustion in the treatment of cognitive disorders
Analysis on the clinical advantages and the rules of acupoint selection in treatment of chronic obstructive pulmonary disease with the integration of acupuncture and medication based on data mining
Rules of acupoint selection in treatment of cancer-related insomnia with acupuncture and moxibustion based on data mining technology
Related Author
CHEN Xiao-xia
TANG Lu-jun
REN Di
ZHAO Li-hua
ZHANG Chao-yang
YANG Yuan-zhen
LUO Yu
GAO Fei-fei
Related Institution
Guangxi University of Chinese Medicine
The First Affiliated Hospital of Guangxi University of Chinese Medicine
Hunan Aerospace Hospital
Changsha Health Vocational College
Research Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine