司徒仪辨治子宫内膜异位症规律的数据挖掘  

Exploration of the SITU Yi's Treatment for Endometriosis Based on Data Mining

作　　者：郑玮琳 翁衡 梁雪芳[3] 曹立幸[3] ZHENG Wei-Lin;WENG Heng;LIANG Xue-Fang;CAO Li-Xing(Dept.of Traditional Chinese Medicine,Guangdong Second Provincial General Hospital,Guangzhou 510315 Guangdong,China;Dept.of Big Data Research of Chinese Medicine,Guangdong Provincial Hospital of Chinese Medicine,the Second AffiliatedHospital of Guangzhou University of Chinese Medicine,Guangzhou 510120 Guangdong,China;Dept.of Gynecology,Guangdong Provincial Hospital of Chinese Medicine,the Second Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangzhou 510120 Guangdong,China)

机构地区：[1]广东省第二人民医院中医科,广东广州510315 [2]广州中医药大学第二附属医院/广东省中医院中医药大数据研究团队,广东广州510120 [3]广州中医药大学第二附属医院/广东省中医院妇科,广东广州510120

出　　处：《广州中医药大学学报》2024年第7期1890-1899,共10页Journal of Guangzhou University of Traditional Chinese Medicine

基　　金：广东省自然科学基金项目(编号:2023A1515011109);广东省基础与应用基础研究基金省市联合基金(粤穗联合基金)-青年基金项目(编号:2022A1515110697);广东省中医药局科研基金项目(编号:20231018);广州市科技局-青年基金项目(编号:2023A04J1130);广东省哲学社会科学规划项目(编号:GD20LMZTS05);广东省名老中医药专家传承工作室建设项目(国中医药人教函[2018]134号)。

摘　　要：【目的】基于个性化知识图谱分析和数据挖掘技术,探讨广东省名中医司徒仪教授辨治子宫内膜异位症(endometriosis,EMs)规律,为EMs的中医诊疗提供参考。【方法】基于EMs诊治的文献研究基础,采用人机结合方法建立名医理法方药本体知识树;采集司徒仪教授于2013年至2019年在广东省中医院门诊诊治的EMs患者的病历,对采集的病案信息进行规范化处理后,形成知识集,构建EMs的中医药诊疗知识图谱,分析疾病特征与用药规律。【结果】EMs患者的核心症状群为痛经、慢性盆腔痛、不孕,证候以血瘀为核心,气滞、肾虚、气虚为主要病机。频繁项集分析得到的核心药物组合有“延胡索-香附-白芍”“枸杞子-桑寄生-茯苓-山药”“枳壳-益母草”等。基于知识元聚类和神经网络算法而构建的EMs词云图显示,丹参-赤芍、延胡索-郁金、桂枝-牡丹皮-赤芍-茯苓、丹参-赤芍-三棱-莪术、川芎-延胡索、桑寄生-菟丝子等为司徒仪教授治疗EMs的常用药物组合。有关中药、症状、证型之间的层次聚类分析和关联网络构建结果显示,证型、症状、用药间存在复杂的内在联系。【结论】司徒仪教授治疗EMs以活血化瘀、补肾为主要治疗方法,同时顺应月经周期,攻补兼施。基于语义网络的知识图谱分析与数据挖掘有助于将司徒仪教授的临床诊治经验的隐性知识显性化,可为EMs的中医辨治提供借鉴。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 c

关 键 词：子宫内膜异位症 血瘀 气滞 肾虚 活血化瘀 补肾 攻补兼施 知识图谱 数据挖掘 司徒仪 

分 类 号：R271.971[医药卫生—中西医结合]