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) |
|
摘要点击次数: 218 |
全文下载次数: 43 |
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. |
查看全文 查看/发表评论 下载PDF阅读器 |
|
关闭 |
|
|
|