基于数据挖掘技术的小儿腹泻临床证型分布特点研究  

Distribution Features of Clinical Symptom Types in Infant Diarrhea by Data-mining

作　　者：霍敏俐 赵琼[2] 陈云慧[2] 陈宜[2] 陈玲[2] 刘彬媛[2] 

机构地区：[1]广东省深圳市福田区慢性病防治医院,518048 [2]成都中医药大学,四川成都611137

出　　处：《时珍国医国药》2012年第6期1555-1556,共2页Lishizhen Medicine and Materia Medica Research

基　　金：四川省科技厅应用基础研究项目(No.07JY029-032)

摘　　要：目的探讨小儿腹泻病的临床证型分布特点。方法收载古今文献1359篇,应用频数分析、关联规则、频繁模式增长树等数据挖掘方法,对小儿腹泻的常见症状、主要证型及症-证关联等进行研究分析。结果提取了小儿腹泻病临床高频症状及核心症状组团;常见证型17个及其判定要点8个,初步获取了小儿腹泻常见证型的症-证对应关系。结论从症、证、症-证的角度初步揭示了小儿腹泻病的临床证型分布特点,在一定程度上完善了对小儿腹泻中医证治规律的认识。Objective To reveal the distribution features of the clinical symptom types in infant diarrhea. Methods 1,359 ancient and modern articles concerning infant diarrhea were collected. The methods of statistical analysis, frequency analysis, as- sociation rules, and frequent pattern growth trees were applied to identify common symptoms, major differentiation patterns, symp- tom - pattern association rule. Results Data mining identified 17 common clinical differentiation patterns. Key points in determi- ning 8 common patterns were extracted . The corresponding relation between symptoms and patterns was obtained. Conclusion To reveal the distribution features of the clinical symptom types in infant diarrhea in terms of symptoms, pattern differentiation, symp- tom - pattern association rule. This study enhances the level of TCM diagnosis and treatment system on infant diarrhea.

关 键 词：小儿腹泻 证型分布特点 数掘挖掘 

分 类 号：R256.34[医药卫生—中医内科学]