癫痫临床诊疗数据规范化研究

中医常采用自然语言描述疾病症状,导致症状命名不统一,影响数据挖掘分析和临床疗效评价结果。该研究主要以中医临床专病诊疗数据为研究对象,示范性地探索和整理了临床诊疗数据中术语该如何规范化的问题,从语义分析的角度来规范化整理症状术语,在首选术语制定过程中引入术语属性和术语间关系的概念,解决了症状间多词一义、多义一词的问题。参照ICD-11中文版整理了疾病诊断术语;参照《中国药典》规范了中药药名;按照“治愈”“好转”“未愈”分类整理疗效评价术语。最终整理获得症状术语558条,其中首选术语164条,同义术语394条;诊断术语23条;疗效评价术语21条,规范后的数据可用于数据挖掘分析。

Study on Standardization of Clinical Data of Epilepsy Diagnosis and Treatment

Chinese medicine often uses natural language to describe the symptoms of the disease,which leads to inconsistent naming of the symptoms and affects the results of data mining analysis and clinical efficacy evaluation.Based on the diagnosis and treatment data of clinical special diseases of a famous Chinese medicine practitioner,this study explored on how to standardize the terminology in clinical diagnosis and treatment data.From the perspective of semantic analysis of standardization symptoms terms,we introduced the concept of the term properties and the relationships between terms in the process of establishing the preferred terms,and solved the problem of multi-word meaning and polysemy between symptoms.Also,we sorted out the disease diagnosis terms according to the ICD-11 Chinese version,standardized the names of traditional Chinese medicines according to Chinese Pharmacopoeia,and sorted the curative effect evaluation terms according to“cure”,“improvement”,and“unhealed”.We finally obtained 558 symptom terms,among which 164 were preferred terms,and obtained 394 synonymous terms,23 diagnosis terms,21 terms of efficacy evaluation.The standardized data can be used for data mining analysis.