Analysis of Acupoint Selection Rules for Electroacupuncture Treatment of Osteonecrosis of the Femoral Head Based on Data Mining Technology

Zhenyao Liu, Yan Cheng

Abstract


Objective: Analysis was focused on the data mining technology of electroacupuncture (EA) of osteonecrosis of the femoral head (ONFH) of the rules and characteristics of point selection in the clinical treatment, to provide a basis for clinical electroacupuncture treatment of ONFH. Methods: The Chinese and English literatures obtained from the CNKI and PubMed database on the treatment of ONFH by electroacupuncture, the Endnote database for the treatment of osteonecrosis of the femoral head by electroacupuncture was established, and the rule of point selection was analyzed by data mining and statistical software Excel ,SPSS,SPSS Modeler. Results: A total of 17 articles were included, and 44 acupoints were selected with a total frequency of 169 times. The most frequently used acupoints in turn are Juliao(GB29),Shenshu (BL23), Biguan (ST31);The selected acupoints mainly belonged to bladder meridian; The acupoints are mainly distributed in the lower limbs, the five shu points are used mostly in the special points, among them, the he-sea points is the most widely used; the dense-sparse waves is mostly used in the electroacupuncture waveform. Cluster analysis can be divided into three categories. The result of correlation analysis showed that "Shenshu(BL23)→Ashi Point" had the highest support degree. Conclusion: electroacupuncture treatment of acupoint selection of Osteonecrosis of the femoral head is centered on Juliao (GB29), Shenshu(BL23), Biguan(ST31), Huantiao(GB30) and Ashi acupoints,with emphasis on selection of acupoints along local points and dialectical matching.

Keywords


Acupuncture; Osteonecrosis of the Femoral Head;Acupoint Selection Rule;Data Mining

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References


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DOI: http://dx.doi.org/10.18686/aem.v10i2.206

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