| 基于关联规则的数据挖掘在临床上的应用 |
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| 引用本文： | 王华,胡学钢.基于关联规则的数据挖掘在临床上的应用[J].安徽大学学报(自然科学版),2006,30(2):21-25. |
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| 作者姓名： | 王华 胡学钢 |
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| 作者单位： | 合肥工业大学,计算机与信息学院,安徽,合肥,230009;安徽医科大学,计算机中心,安徽,合肥,230032;安徽医科大学,计算机中心,安徽,合肥,230032 |
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| 摘 要： | 随着医院信息系统(Hosp ital Inform ation System,H IS)在医院的广泛应用,特别是数字新技术在门诊系统中的广泛应用,医学数据挖掘提高了医院信息管理水平,为疾病的诊断和治疗提供了科学的、准确的决策.本文使用关联规则中的Apriori算法挖掘医院病人的就诊资料,并且归纳出症状及疾病间之关联规则,并探讨其在医疗信息系统的应用.
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| 关 键 词： | 数据挖掘 算法 关联规则 医学信息 频繁项集 |
| 文章编号： | 1000-2162（2006）02-0021-05 |
| 收稿时间： | 2005-06-26 |
| 修稿时间： | 2005-06-26 |
The application of the data mining based on association rules in the clinic |
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| WANG Hua,HU Xue-gang.The application of the data mining based on association rules in the clinic[J].Journal of Anhui University(Natural Sciences),2006,30(2):21-25. |
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| Authors: | WANG Hua HU Xue-gang |
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| Abstract: | With the widely application in hospital of Hospital Information System,especially the widely(application) in clinic system of the new digital technology,data mining on medicine becomes necessary for improving the information management level in the hospital and providing scientific decision making for the diagnosis and the treatment of the diseases.In this paper,the algorithm apriori of the association rules is used to extract useful knowledge and generalize the association rules about the symptoms and the disease and explore its application in the Hospital Information System. |
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| Keywords: | data mining algorithm association rules medical information frequent itemsets |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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