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.

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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
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Exploring the selection pattern of acupuncture points for the treatment of simple obesity of spleen deficiency type based on data mining

Yan Li, Jiahao Chen, Yang Zhang, Yunli Wang et al.
Medical Research and Treatments
article

Exploring the selection pattern of acupuncture points for the treatment of simple obesity of spleen deficiency type based on data mining

Yan Li, Jiahao Chen, Yang Zhang, Yunli Wang, Yawei Qu
article en

Abstract

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.

Changchun University of Chinese Medicine (CN)
Technology Development
Zero hunger
Openalex Percentile: Top 53%
Medical Research and Treatments
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Exploring the selection pattern of acupuncture points for the treatment of simple obesity of spleen deficiency type based on data mining — Yan Li, Jiahao Chen, et al. · (2024) | TGRS Research Map | TGRS