Rules of moxibustion for low back pain by <italic style="font-style: italic">ZHOU Meisheng</italic> based on data mining and knowledge graph technology

WANG Chi; ZHU Caifeng; ZHANG Jiayu; ZHOU Bingyuan; CHEN Xiaoyu; CHENG Le; XIE Miaomiao; DING Xuechun

doi:10.13703/j.0255-2930.20240418-k0004

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Rules of moxibustion for low back pain by ZHOU Meisheng based on data mining and knowledge graph technology

Thought and Method | 更新时间：2025-06-13

- Rules of moxibustion for low back pain by ZHOU Meisheng based on data mining and knowledge graph technology
- Chinese Acupuncture & Moxibustion Vol. 45, Issue 6, Pages: 823-833(2025)
- 作者机构：
  
  安徽中医药大学第二临床医学院，合肥 230061
  安徽中医药大学第二附属医院老年病三科，合肥 230061
- 作者简介：
- 基金信息：
- DOI：10.13703/j.0255-2930.20240418-k0004
  CLC：
- Received：18 April 2024，
  
  Online First：19 February 2025，
  
  Published：12 June 2025
- 稿件说明：
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WANG Chi, ZHU Caifeng, ZHANG Jiayu, et al. Rules of moxibustion for low back pain by ZHOU Meisheng based on data mining and knowledge graph technology[J]. Chinese Acupuncture & Moxibustion, 2025, 45(6): 823-833. DOI: 10.13703/j.0255-2930.20240418-k0004.
DOI：

WANG Chi, ZHU Caifeng, ZHANG Jiayu, et al. Rules of moxibustion for low back pain by ZHOU Meisheng based on data mining and knowledge graph technology[J]. Chinese Acupuncture & Moxibustion, 2025, 45(6): 823-833. DOI: 10.13703/j.0255-2930.20240418-k0004. DOI：

摘要

目的：

运用数据挖掘和知识图谱构建分析名老中医周楣声灸法治疗腰痛的规律。

方法：

以周楣声遗留手稿、现存著作中的灸法治疗腰痛医案为研究对象，收集病种、症状、舌象、脉象、证型、灸法、穴位等信息。运用古今医案云平台V 2.3.7进行频数统计及社团分析，SPSS26.0对高频穴位进行聚类分析，SPSS Modeler 18.0对高频穴位进行关联规则分析，并将产生的链接数据导入Cytoscape 3.9.1中进行复杂网络分析。基于数据挖掘结果，构建周楣声灸法治疗腰痛知识图谱，通过Neo4j 3.5.25图数据库实现知识图谱的数据储存与展示，并运用Cypher查询语言进行知识图谱检索与发现。

结果：

共收集到219个医案，涉及14个病种，相关临床症状85个，5种相关中医证型，6种灸治方法。穴位多归经于督脉、足太阳膀胱经及非经非穴。复杂网络分析所得腧穴核心组方为压痛穴、肾俞、筋缩、阴交、腰阳关、阳陵泉，基本与高频腧穴相一致。聚类分析得到4个聚类组合。社团分析得到6个社团，分别与不同穴位相对应。构建的知识图谱共包含187个节点和696条关系，检索与腰痛相关的临床要素，得到病种-灸法关联图谱、病种-穴位关联图谱、伴随症状-穴位关联图谱、证型-配穴关联图谱。

结论：

周楣生灸治腰痛时以通为法，辨病施法、依病选穴、随症配穴，常以压痛穴、肾俞、筋缩、阴交、腰阳关、阳陵泉为核心穴位，结合压痛取穴、经脉脏腑辨证取穴、“阳光普照区”取穴、阴阳配穴，同时善用中注、耳尖等特殊穴位，重视改革灸具，创新灸法，采用不同的富有特色的灸具灸法治疗腰痛。

Abstract

Objective

To analyze the rules of moxibustion for low back pain by

ZHOU Meisheng

by using data mining and knowledge graph technology.

Methods

Taking the medical cases of moxibustion for low back pain from

ZHOU Meisheng

's legacy manuscripts and existing works as the research objects

information on disease types

symptoms

tongue manifestations

pulse conditions

syndrome patterns

moxibustion methods and acupoints were collected. Frequency statistics and community analysis were conducted by the ancient and modern medical record cloud platform V 2.3.7

cluster analysis of high-frequency acupoints was performed by SPSS26.0

association rule analysis of high-frequency acupoints was performed by SPSS Modeler 18.0

and the generated linked data were imported into Cytoscape 3.9.1 for complex network analysis. Knowledge graph of moxibustion for low back pain by

ZHOU Meisheng

was constructed based on the results of data mining. The data storage and display of knowledge graph were realized through the Neo4j 3.5.25 graph database

and the Cypher query language was used for knowledge graph retrieval and discovery.

Results

A total of 219 medical cases were collected

involving 14 disease types

85 related clinical symptoms

5 related TCM

syndrome types

and 6 moxibustion methods. The acupoints were mostly attributed to the governor vessel

the bladder meridian of foot-

taiyang

non-meridian and non-acupoint areas. The core prescription of acupoints derived from complex network analysis included tender points

Shenshu (BL23)

Jinsuo (GV8)

Yinjiao (CV7)

Yaoyangguan (GV3)

Yanglingquan (GB34)

which were largely coincides with high-frequency acupoints. Cluster analysis obtained 4 cluster combinations. Community analysis yielded 6 communities

each corresponding to different acupoints.The constructed knowledge graph contained 187 nodes and 696 relationships

by retrieving clinical elements related to low back pain

the disease-moxibustion association graph

disease-acupoint association graph

accompanying symptom-acupoint association graph and syndrome type-matching point association graph were obtained.

Conclusion

When treating low back pain with moxibustion

ZHOU Meisheng

adopts the principle of promoting circulation

distinguishing diseases to determine the treatment

selecting acupoints according to the diseases

and matching points according to the symptoms.And taking tender points

Shenshu (BL23)

Jinsuo (GV8)

Yinjiao (CV7)

Yaoyangguan (GV3)

Yanglingquan (GB34) as core acupoints

combined with tenderness point selection

acupoint selection based on meridian and

zangfu

syndrome differentiation

"sunshine area" acupoint selection

yin

yang

acupoint matching. Additionally

he skillfully employs special points

such as Zhongzhu (KI15) and ear tips

pays attention to the reform of moxibustion tools

and innovates the moxibustion techniques

using distinctive moxibustion tools and methods to treat low back pain.

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⁰

Rules of moxibustion for low back pain by ZHOU Meisheng based on data mining and knowledge graph technology

DOI：10.13703/j.0255-2930.20240418-k0004

摘要

Abstract

关键词

Keywords

references