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作 者:吴淼[1] 严传波[1] 刘倩 WU Miao;YAN Chuan-bo;LIU Qian(College of Medical Engineering and Technology,Xinjiang Medical University,Urumqi 830011,Xinjiang Uygur Autonomous Region,P.R.C.)
机构地区:[1]新疆医科大学医学工程技术学院 [2]新疆医科大学基础医学院
出 处:《中国数字医学》2018年第9期73-76,共4页China Digital Medicine
基 金:国家自然科学基金项目(编号:81560294)~~
摘 要:目的:从大量成功医治的电子病历数据中找出治疗肝包虫病的用药规律。方法:利用Excel及VBA对原始数据进行清理、转化并在Rstudio环境下采用Apriori算法对清理后的数据进行关联分析。结果:在183条有效记录中,找出了支持度大于0.2的121条频繁项集,同时满足置信度大于0.8的132条强关联规则。结论:利用关联规则从大量的电子病历数据中找出肝包虫围术期间的用药规律,为专家医师做参考,也为后期实现计算机辅助治疗肝包虫病提供参考依据。Objective: To find out periopemtive medication rules for treating the hepatic echinococcosis from a large number of successful medical records. Methods: Excel and VBA were used to clean and convert the original data to csv form, and the Apriori algorithm was used to analyze the clean data under the environment of R studio. Results: In 183 effective records, 121 frequent itemsets with support value more than 0.2 were found, and 132 strong association rules with confidence value greater than 0.8 were met. Conclusion: Using association rules, we can find out the rules of medication during periopemtive period from a large number of electronic medical records, and provide references for specialists. It also provides reference for later computer-aided treatment of hepatic echinococcosis.
关 键 词:电子病历 肝包虫病 围术期 用药规律 关联规则 APRIORI 研究
分 类 号:R197.324[医药卫生—卫生事业管理] TP391[医药卫生—公共卫生与预防医学]
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