Exploring the selection pattern of acupuncture points for the treatment of simple obesity of spleen deficiency type based on data mining
Objective:Using data mining technology to analyze the pattern of acupuncture points for treating simple obesity of spleen deficiency type to provide reference for clinical treatment of this disease.Methods:The clinical research literature on acupuncture for the treatment of simple obesity of spleen deficiency type was searched by computer from the CNKI, WF, VIP and CBM since the establishment of the database up to March 2024, and the frequency descriptive analysis of the prescription involving acupoints was performed by using Miscrosoft Excel 2021, and the IBM SPSS Modeler 18.0 and SPSS Statistics 27.0 for association rule analysis and cluster analysis of high-frequency acupoints.Results:A total of 126 papers were included, involving 134 acupoints, with a total frequency of 1526 uses. The top five high-frequency acupoints were Zhongwan, Tianshu, Zusanli, Fenglong, and Qihai in order, and the frequency of the above five acupoints was more than 80 times. The meridians were mainly selected from the Stomach Meridian, Ren Meridian and Spleen Meridian. Specific acupoints were mainly used as front Mu acupoint, Back-shu acupoint and Five-shu acupoint. The distribution of acupoints was mainly in the abdomen and lower limbs. Association rule analysis and cluster analysis formed a core point group based on Tianshu-Zhongwan-Fenglong.Conclusion:Acupuncture treatment of simple obesity of spleen deficiency type is based on Zhongwan, Tianshu and Fenglong as the core acupoint combination.
Authors
- Yan Li (ORCID: https://orcid.org/0000-0003-1963-839X)
- Jiahao Chen (ORCID: https://orcid.org/0000-0001-6095-1041)
- Yang Zhang (ORCID: https://orcid.org/0000-0002-4909-4939)
- Yunli Wang (ORCID: https://orcid.org/0000-0001-9337-5394)
- Yawei Qu
Institutions
- Changchun University of Chinese Medicine (CN)
Publication Details
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1109/bibm62325.2024.10821897
- Primary Topic
- Medical Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Technology Development