LIU Zhuocan, LI Na, CHEN Chao, et al. Analysis of acupoint selection rules for acupuncture for autism spectrum disorder based on data mining technology[J]. Chinese Acupuncture & Moxibustion, 2025, 45(10): 1496-1504.
DOI:
LIU Zhuocan, LI Na, CHEN Chao, et al. Analysis of acupoint selection rules for acupuncture for autism spectrum disorder based on data mining technology[J]. Chinese Acupuncture & Moxibustion, 2025, 45(10): 1496-1504.DOI: 10.13703/j.0255-2930.20240902-0003.
Analysis of acupoint selection rules for acupuncture for autism spectrum disorder based on data mining technology
To analyze the core acupoint selection rules and syndrome-based compatibility patterns of acupuncture for autism spectrum disorder (ASD) using data mining techniques.
Methods
2
Relevant literature of acupuncture for ASD was retrieved from CNKI
Wanfang
VIP
PubMed
and Web of Science. After applying inclusion and exclusion criteria
a prescription database was established based on the extracted effective data. Descriptive analysis was conducted on the frequency
meridian tropism
anatomical distribution
and specific point. High-frequency acupoints were visualized using Origin software. The Apriori algorithm in IBM SPSS Modeler 18.0 was used for association rule analysis of acupoint combinations. Cluster analysis of high-frequency acupoints was performed using IBM SPSS Statistics 26.0. The relationships between high-frequency syndromes and acupoints were visualized using Cytoscape 3.10.0.
Results
2
A total of 223 studies and 452 prescriptions were included
among which 223 were based on syndrome differentiation. A total of 205 acupoints were included with a cumulative frequency of 4 067. The top five most frequently used acupoints were Baihui (GV20)
Sishenzhen
Zhisanzhen
Niesanzhen
and Neiguan (PC6). Acupoints were primarily from
Jin
’s three-needle therapy
the governor vessel
scalp acupuncture
and the foot-
taiyang
bladder meridian
with a high proportion of acupoints located on the head and neck and the limbs. Among specific point
five-
shu
points
yuan
-source points
and back-
shu
points were most frequently used. Association rule analysis revealed that the core acupoint group was Sishenzhen-Dingshenzhen-Zhisanzhen-Niesanzhen. Cluster analysis divided the top 20 high-frequency acupoints into four categories: governor vessel activation and brain awakening group
spleen strengthening and heart nourishing group
Jin
’s three-needle spirit-regulating group
and kidney-reinforcing and marrow-filling group. Cli
nically
the main syndrome patterns were kidney essence deficiency
hyperactivity of heart and liver fire
phlegm obstructing the heart orifices
dual deficiency of heart and spleen
and liver
qi
stagnation.
Conclusion
2
The core acupoint prescriptions of acupuncture for ASD are Sishenzhen
Dingshenzhen
Zhisanzhen
and Niesanzhen. The treatment emphasizes spirit regulation and mental tranquility
guided by the principles of harmonizing multiple
zang
-
fu
organs
regulating
qi
and blood
unblocking
qi
movement
and balancing
yin
and
yang
. Syndrome-based acupoint compatibility is recommended in clinical practice.
Rules of acupoint selection and compatibility of acupuncture and moxibustion in treatment of chronic cough based on ancient and modern literature mining
A new model of precision acupuncture regulation for emotional disorders based on the AI4S paradigm
New concepts and methods for future clinical research on acupuncture and moxibustion
LYU Jingshan's experience in treatment of post-stroke depression with acupuncture and moxibustion
Efficacy prediction of acupuncture and moxibustion combined with conventional treatment for PCOS-IR based on real-world data: machine learning and interpretability analysis
Related Author
DENG Xinyu
LIU Yilin
XU Guixing
LI Qi
LI Junqi
HUANG Si
WANG Ziwen
LI Hangyu
Related Institution
School of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM
Affiliated Hospital of Chengdu University of TCM
Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences
International Acupuncture and Moxibustion Innovation Institute, Beijing University of CM