| 基于Apriori算法的高血压电子病历研究 |
| 修订日期：2015-12-18 点此下载全文 |
| 引用本文：杨美洁,史云杰,李准.基于Apriori算法的高血压电子病历研究[J].医学信息学杂志,2016,37(3):58-61,76 |
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| 基金项目:重庆医科大学医学信息学院助力计划(项目编号:2014A009)。 |
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| 中文摘要:采用SQL技术对电子病历数据进行预处理,将高血压患者按照性别以65岁为界,分为<65岁男、<65岁女、≥65岁男、≥65岁女4组。运用Apriori算法研究检查检验结果与用药之间的关联规则,挖掘出29条强关联规则,对制定高血压临床诊疗方案提供参考依据。 |
| 中文关键词:高血压 电子病历 Apriori算法 关联规则 强规则 |
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| Research on Electronic Medical Records of Hypertension Based on Apriori Algorithm |
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| Abstract:The paper uses SQL to preprocess data of Electronic Medical Records(EMR) and divides hypertension patients into 4 groups in terms of sex and the age of 65, namely male <65, female <65, male ≥65 and female ≥65. By use of Apriori algorithm, it studies the association rules between examination results and use of medicine and excavates 29 strong association rules. These provide reference for making plans for clinical diagnosis and treatment of hypertension. |
| keywords:Hypertension Electronic Medical Records(EMR) Apriori algorithm Association rules Strong association rules |
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