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March 5, 2026Journal of Pain ResearchOpen Access

Data Mining-Based Analysis of Acupoint Selection Patterns in Acupuncture Treatment for Lumbar Disc Herniation

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Authors

ZZZehao ZhengJFJuanjuan FengYLYang Li

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Overview

This analysis uncovers core acupoint combinations for lumbar disc herniation, suggesting standardized treatment protocols.

Key Points

  • The study aims to identify effective acupoint combinations and strategies for treating lumbar disc herniation using data mining.
  • Conducted a systematic search of seven electronic databases.
  • Used association rule mining with the Apriori algorithm to analyze acupoint data.
  • Performed cluster analysis using Ward's linkage method to group acupoints.
  • Mapped acupoint-nerve relationships through neural distribution analysis.
  • Identified 13 core acupoints responsible for 74.65% of usage.
  • Weizhong (BL40) and Dachangshu (BL25) were the most frequently used acupoints.
  • Cluster analysis revealed six therapeutic strategies focused on the Bladder meridian.
  • The study found significant relationships between acupoints and lumbar/sciatic nerves.

Cite This Study

Zheng et al. (2026) studied this question.

synapsesocial.com/papers/69a91d55d6127c7a504c018chttps://doi.org/10.2147/jpr.s576514
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