现代名老中医临床诊疗方药数据抽取与清理方法研究
发布时间：2018-08-22 07:14
【摘要】：目的研究现代名老中医临床诊疗方药数据的抽取与清理方法,实现方药数据的规范化与标准化,为证-方-药之间的关系研究奠定基础。方法首先,基于《中国药典》与《中华本草》建立中药知识库。其次,抽取诊断为肺癌的现代名老中医临床数据,针对方药信息进行去重、分解、规范化与标准化操作,并记录知识库中缺少的中药信息,与中医专家进行核验,扩展知识库。最后,再次对方药数据进行抽取与清理。结果实验表明,提出的CMF-SEC方法可以针对存在多种复杂情况的方药数据进行抽取与清理,实现了方药数据的规范化与标准化。结论 CMF-SEC方法,适用于现代名老中医临床诊断中方药数据的抽取与清理。
[Abstract]:Objective to study the method of extracting and clearing the data of clinical diagnosis and treatment of modern famous and old Chinese medicine, to standardize and standardize the data of prescription and medicine, and to lay a foundation for the study of the relationship between syndrome and prescription and medicine. Methods firstly, the knowledge base of TCM was established based on Chinese Pharmacopoeia and Chinese herbs. Secondly, the clinical data of traditional Chinese medicine (TCM) diagnosed as lung cancer are extracted, the information of traditional Chinese medicine is removed, decomposed, standardized and standardized, and the missing information of Chinese medicine in the knowledge base is recorded, and the traditional Chinese medicine experts are verified and the knowledge base is expanded. Finally, the other side drug data extraction and cleaning up again. Results the experimental results show that the proposed CMF-SEC method can be used to extract and clean the data of prescription drugs with many complicated situations, and the standardization and standardization of the data of prescription drugs can be realized. Conclusion CMF-SEC method can be used to extract and clean up the data of traditional Chinese medicine in clinical diagnosis.
【作者单位】： 南京中医药大学信息技术学院;南京中医药大学国医大师周仲瑛工作室;南京中医药大学中医内科急难症研究所;
【基金】：国家自然科学基金青年基金(81674099;81503499) 江苏省“青蓝工程”资助项目(2016) 江苏省高校优势学科建设工程项目
【分类号】：R249;TP391.1
[Abstract]:Objective to study the method of extracting and clearing the data of clinical diagnosis and treatment of modern famous and old Chinese medicine, to standardize and standardize the data of prescription and medicine, and to lay a foundation for the study of the relationship between syndrome and prescription and medicine. Methods firstly, the knowledge base of TCM was established based on Chinese Pharmacopoeia and Chinese herbs. Secondly, the clinical data of traditional Chinese medicine (TCM) diagnosed as lung cancer are extracted, the information of traditional Chinese medicine is removed, decomposed, standardized and standardized, and the missing information of Chinese medicine in the knowledge base is recorded, and the traditional Chinese medicine experts are verified and the knowledge base is expanded. Finally, the other side drug data extraction and cleaning up again. Results the experimental results show that the proposed CMF-SEC method can be used to extract and clean the data of prescription drugs with many complicated situations, and the standardization and standardization of the data of prescription drugs can be realized. Conclusion CMF-SEC method can be used to extract and clean up the data of traditional Chinese medicine in clinical diagnosis.
【作者单位】： 南京中医药大学信息技术学院;南京中医药大学国医大师周仲瑛工作室;南京中医药大学中医内科急难症研究所;
【基金】：国家自然科学基金青年基金(81674099;81503499) 江苏省“青蓝工程”资助项目(2016) 江苏省高校优势学科建设工程项目
【分类号】：R249;TP391.1
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