Exploration of the SITU Yi's Treatment for Endometriosis Based on Data Mining
10.13359/j.cnki.gzxbtcm.2024.07.035
- VernacularTitle:司徒仪辨治子宫内膜异位症规律的数据挖掘
- Author:
Wei-Lin ZHENG
1
;
Heng WENG
;
Xue-Fang LIANG
;
Li-Xing CAO
Author Information
1. 广东省第二人民医院中医科,广东广州 510315
- Keywords:
endometriosis;
blood stasis;
qi stagnation;
kidney deficiency;
activating blood to remove stasis;
tonifying kidney;
simultaneous application of purging and nourishing therapeutics;
knowledge graph;
data mining;
SITU Yi
- From:
Journal of Guangzhou University of Traditional Chinese Medicine
2024;41(7):1890-1899
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the treatment for endometriosis(EMs)by Professor SITU Yi,a Guangdong famous traditional Chinese medicine physician,thus to provide reference for the diagnosis and treatment of EMs in traditional Chinese medicine based on personalized knowledge graph analysis and data mining technology.Methods Based on the literature research achievements of diagnosis and treatment of EMs,the ontology knowledge tree of famous physician's principles,methods,prescriptions and medicines was established by user-computer integration method.The medical records of EMs patients treated by Professor SITU Yi in the outpatient department of Guangdong Provincial Hospital of Chinese Medicine from 2013 to 2019 were collected.After standardization of the data of medical records,the knowledge set was defined,the knowledge map of TCM diagnosis and treatment of EMs was constructed,and the symptom characteristics and medication rules for EMs were analyzed.Results The core symptoms of EMs patients were dysmenorrhea,chronic pelvic pain and infertility,with the predominated syndrome of blood stasis.The pathogenesis of EMs patients was mainly due to qi stagnation,kidney deficiency,and qi deficiency.Frequent itemset analysis yielded the core drug groups of"Corydalis Rhizoma,Cyperi Rhizoma,Paeoniae Radix Alba""Lycii Fructus,Taxilli Herba,Poria,Dioscoreae Rhizoma"and"Aurantii Fructus,Leonuri Herba".The EMs word cloud map constructed on the basis of knowledge element clustering and neural network algorithm showed that the drug combinations of"Salviae Miltiorrhizae Radix et Rhizoma,Paeoniae Radix Rubra""Corydalis Rhizoma,Curcumae Radix""Cinnamomi Ramulus,Moutan Cortex,Paeoniae Radix Rubra,Poria""Salviae Miltiorrhizae Radix et Rhizoma,Paeoniae Radix Rubra,Sparganii Rhizoma,Curcumae Rhizoma""Chuanxiong Rhizoma,Corydalis Rhizoma"and"Taxilli Herba,Cuscutae Semen"were commonly used for the treatment of EMs by Professor SITU Yi.The results of hierarchical clustering analysis and association network construction for Chinese medicinals,symptoms and syndromes showed that there were complex inner link among the syndromes,symptoms and medication.Conclusion For the treatment of EMs,Professor SITU Yi usually adopt the methods of activating blood to remove stasis and tonifying kidney,and also performs the periodic therapy and simultaneous application of purging and nourishing therapeutics.Knowledge graph analysis and data mining based on semantic web are helpful to unveil the tacit knowledge of clinical diagnosis and treatment experience of Professor SITU Yi,which can provide reference for the differentiation and treatment of EMs with Chinese medicine.
