Study on the knowledge map of Chinese medicine syndrome differentiation and treatment of coronary heart disease based on Neo4j
CHEN Shanda1,2 XIA Shuaishuai1,2 DENG Wenxiang1,2 LI Liang1,2 YAN Junfeng1,3
1.College of Chinese Medicine, Hu’nan University of Chinese Medicine, Hu’nan Province, Changsha 410208, China;
2.Hu’nan Provincial Key Laboratory of Chinese Medicine Diagnostics, Hu’nan Province, Changsha 410208, China;
3.College of Information Science and Engineering, Hu’nan University of Chinese Medicine, Hu’nan Province, Changsha 410208, China
Abstract：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.
陈善达1,2 夏帅帅1,2 邓文祥1,2 李亮1，2 晏峻峰1,3. 基于Neo4j的冠心病中医辨证论治知识图谱研究[J]. 中国医药导报, 2021, 18(21): 138-141.
CHEN Shanda1,2 XIA Shuaishuai1,2 DENG Wenxiang1,2 LI Liang1,2 YAN Junfeng1,3. Study on the knowledge map of Chinese medicine syndrome differentiation and treatment of coronary heart disease based on Neo4j. 中国医药导报, 2021, 18(21): 138-141.
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