Objective

2

To analyze the rules of moxibustion for low back pain by

ZHOU Meisheng

by using data mining and knowledge graph technology.

Methods

2

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

2

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

2

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.