Data mining-based acupuncture point selection pattern study for postherpetic neuralgia
GUO Chenqi1 ZHANG Jianfeng1 ZHANG Yu2#br#
1.Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China;
2.Department of Dermatology, Affiliated Hospital of Tianjin Academy of Traditional Chinese Medicine Tianjin Dermatology Institute of Integrated Chinese and Western Medicine, Tianjin 300120, China
Abstract：Objective To analyze the rules of acupuncture point selection patterns for postherpetic neuralgia (PHN) using data mining techniques. Methods The clinical literature on the treatment of PHN with acupuncture therapy was searched from China Knowledge Network, VIP, Wanfang, and China Biomedical Literature Database from its establishment to December 2021 to establish a database of selected acupuncture point prescriptions, and data mining was performed using SPSS statistical software to analyze the patterns of acupuncture point dispensing. Results A total of 276 acupuncture prescriptions involving 91 acupoints were included, and the most frequently used acupoints were āshì and jiájǐ; the meridians with the most selection were the gallbladder, spleen, and stomach meridians; the combination of acupoints with the highest correlation corresponded to the frequency of selection; through cluster analysis, five clusters could be obtained. Conclusion Acupuncture treatment for PHN is based on āshì acupuncture point and jiájǐ acupuncture point, and acupuncture points are taken according to the site of skin lesion following the meridian, focusing on the combination of local and distal acupuncture points, together with dialectical evidence, in order to achieve the effect of clearing liver and fire, strengthening spleen and dispelling dampness, clearing heat and detoxifying.
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