基于数据挖掘的肾系水肿茯苓运用研究

Application of Poria in Renal Edema Based on Data Mining

目的慢性肾脏病已成为全球重大的公共卫生健康问题之一,中医古籍记载了大量有关慢性肾脏病相关的经验。机器学习数据挖掘为古籍挖掘经方验方提供了新的方法,但是目前古籍知识挖掘存在诸多有待提高之处。方法本研究通过知识图谱对肾系水肿进行古籍挖掘,并对其中最关键药物茯苓进行深度关联,从“核心药物归纳总结——药物-疾病知识地图与网络构建——药症关联聚类分析——隐性知识发现”几个方面整理出古今医家运用茯苓治疗肾系水肿的经验。为茯苓进一步研究及临床推广提供新的思路。结果药物特征分布地图中发现茯苓为使用频率最高的药物,其临床使用与“腰以下肿”、“喘”、“语謇”、“蹇”、“怔忪”5个症状最为密切。除了已知的利水渗湿、宁心安神等功效外,对茯苓相关症状进一步挖掘发现,其在古籍挖掘和名老中医经验挖掘中亦作为药物搭配用于临床,以达到祛除风邪的目的。结论基于语义网络的肾系疾病中医古籍本体知识库及辅助挖掘系统,对于挖掘发现隐性知识,拓宽茯苓的临床再认识有其独特的优势。其可通过知识图谱进一步探索古籍隐性知识,将古代医家辨证使用茯苓的思维与用药经验进一步显性知识可视化,有助于古籍资源的充分发掘和利用。

Objective Chronic kidney disease has become one of the major public health problems in the world.Traditional Chinese medicine ancient literature has a lot of records related to chronic kidney disease.Machine learning data mining provides a new method for ancient literature mining,however there are many things need to be improved in ancient knowledge mining.Methods This study explored the ancient books of renal edema by knowledge graph,and deeply related the most important medicine,from the summary of core drugs-drug-disease knowledge graph and network construction-drug association cluster analysis-recessive knowledge discovery"has compiled the experience of ancient and modern doctors in the treatment of renal edema.Provide new ideas for further research and clinical practice.Results The drug distribution graph showed that Poria was the most frequently used herbal medicine,and its clinical practice was the most closely related to the symptoms of"swelling below the waist","asthma","difficult in speaking","Jian"and"Zhengsong".In addition to the known effects of water soaking,spleen and soothe the nerves,the related symptoms of sputum are further explored.It is also used as a drug in clinical excavation in the excavation of ancient books and the experience of famous Chinese medicine practitioners,in order to achieve the purpose of eliminating wind evil.Conclusion The ontology knowledge base and auxiliary mining system of traditional Chinese medicine ancient books based on semantic network have unique advantages for discovering tacit knowledge and broadening the clinical understanding of Poria.It can further explore the tacit knowledge of ancient literature through the knowledge graph,and visualize the explicit knowledge of the ancient doctors'dialectical use and the experience of drug use,which will help the full exploitation and utilization of ancient books resources.