引用本文:胡珊珊,厉玉鹏.儿童过敏性紫癜用药规律的数据挖掘[J].中华医学图书情报杂志,2018,27(6):54-58.
儿童过敏性紫癜用药规律的数据挖掘
Data mining of drug use rules in treatment of allergic purpra children
DOI:10.3969/j.issn.1671-3982.2018.06.009
中文关键词:  医疗大数据  数据挖掘  儿童过敏性紫癜  关联规则  决策支持
英文关键词:Medical Big data  Data mining  Allergic purpura children  Association rules  Decision-making support
基金项目:济宁医学院校级科研计划项目“大数据时代针对儿童安全用药的数据挖掘技术研究”(JY2015KJ020);济宁医学院教师科研扶持基金“面向基层医院的健康医疗大数据挖掘和应用研究”(JY2017KJ056)
作者单位
胡珊珊 济宁医学院医学信息工程学院山东 日照 276826 
厉玉鹏 日照市人民医院山东 日照 276826 
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中文摘要:
      介绍数据挖掘技术的常用算法,利用数据挖掘的关联规则算法挖掘儿童过敏性紫癜的用药模式,发现治疗过程中的核心用药以及药品间的关联规则,总结过敏性紫癜儿童用药的特点和潜在规律,挖掘结果显示双嘧达莫片与盐酸西替利嗪糖浆、盐酸西替利嗪糖浆与西咪替丁注射液在儿童过敏性紫癜治疗中具有较高相关性,为医疗大数据背景下过敏性紫癜儿童用药决策及合理用药探讨提供循证医学支持。经专家证实,挖掘结果与实际的临床用药情况相符,具有实用价值和指导意义。
英文摘要:
      After the background of medical big data, and the concepts and commonly used algorithms of data mining technology were described, the drug use methods in treatment of allergic purpura children were mined according to the association rules algorithm of data mining, which showed that the methods for use of key drugs, association rules between different drugs, characteristics and potential rules of drugs used in treatment of allergic purpura children can provide evidence for policy decision and rational use of drugs in treatment of allergic purpura children. The mining results verified by experts are in line with the practical use of drugs and are thus of practical values.
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