摘要
目的探讨Neo4j图数据库技术表达冠心病中医辨证论治规律的方法及一般步骤。方法采用Excel表格及Python软件对知网、维普及万方数据库2010年1月至2020年2月收集的329例冠心病临床病案的证候、病性证素及用药进行频数统计、权值计算和关联分析,并将结果导入Neo4j构建图数据库。结果出现频率≥50%的证候有胸闷、胸痛、气短、苔白、乏力,出现频率≥10%的病性证素为血瘀、痰、气虚、气滞、阳虚、阴虚、湿、火(热),使用频率≥50%的药物有丹参、甘草。权值计算的结果显示相关度最高的“中心证素-病性证素-证候-用药”关系:血瘀-气虚-瘀点(斑)舌-桃仁,痰-火(热)-滑脉-瓜蒌皮,气虚-阴虚-乏力-五味子;出现频率≥10%且置信度≥75%的关联中药为檀香→丹参,桃仁、当归→川芎、红花,砂仁→丹参。结论结合Neo4j图数据库技术开展临床病案的挖掘研究能够更加方便、清晰地表达诊疗知识,包括Neo4j在内的图数据库将成为中医药领域知识表达的强大工具。
Objective To explore the methods and common steps to express the rules of treatment by syndrome differentiation of coronary heart disease by using Neo4j.Methods A total of 329 clinical cases of coronary heart disease from January 2010 to February 2020 including syndrome,syndrome element of the nature of disease and medicine were collected from CNKI,VIP and Wangfang data.Frequency analysis,weight calculation and association analysis were carried out with Excel table and Python and the results were loaded into Neo4j to generate the graphic database.Results Chest tightness,chest pain,shortness of breath,white fur,and fatigue were the symptoms with occurrence frequency more than 50%.Blood stasis,phlegm,qi deficiency,qi stagnation,yang deficiency,yin deficiency,dampness and fire(heat)were the syndrome elements with occurrence frequency more than 10%.Salviae Miltiorrhizae Radix et Rhizoma and Glycyrrhizae Radix et Rhizoma were the medication with use frequency more than 50%.The results of weight calculation showed that the relationship of“central syndrome-element disease syndrome-syndrome-medication”had the highest correlation:blood stasis-qi deficiency-petechia(ecchymotic)tongue-Persicae Semen,phlegm-fire(heat)-slippery pulse-Trichosanthis Pericarpium,qi deficiency-yin deficiency-fatigue-Schisandrae Chinensis Fructus.Related Chinese medicines of occurrence frequency more than 10%and confidence more than 75%were Santali Albi Lignum→Salviae Miltiorrhizae Radix et Rhizoma,Persicae Semen and Angelicae Sinensis Radix→Chuanxiong Rhizoma and Carthami Flos,Amomi Fructus→Salviae Miltiorrhizae Radix et Rhizoma.Conclusion It will be more convenient and concise to express the knowledge of diagnosis and treatment by using Neo4j to explore the rules of clinical cases.Graph database including Neo4j will be a powerful tool to express the knowledge in the field of Chinese medicine.
作者
陈善达
夏帅帅
邓文祥
李亮
晏峻峰
CHEN Shanda;XIA Shuaishuai;DENG Wenxiang;LI Liang;YAN Junfeng(College of Chinese Medicine,Hu’nan University of Chinese Medicine,Hu’nan Province,Changsha 410208,China;Hu’nan Provincial Key Laboratory of Chinese Medicine Diagnostics,Hu’nan Province,Changsha 410208,China;College of Information Science and Engineering,Hu’nan University of Chinese Medicine,Hu’nan Province,Changsha 410208,China)
出处
《中国医药导报》
CAS
2021年第21期138-141,共4页
China Medical Herald
基金
湖南省自然科学基金项目(2019JJ40214)
湖南省教育厅重点项目(19A380)
湖南省中医药科研计划重点项目(202004)
湖南省研究生科研创新项目(CX2018B465)。
关键词
冠心病
中医
辨证论治
Neo4j
图数据库
Coronary heart disease
Chinese medicine
Syndrome differentiation and treatment
Neo4j
Graph database
