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计算机系统应用英文版:2017,26(11):220-225
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基于前缀集约束的临床路径挖掘算法
(1.中国科学技术大学 计算机科学与技术学院, 合肥 230027;2.中国科学技术大学 信息安全测评中心, 合肥 230027)
Mining Clinical Pathways Algorithm Based on Prefix Constraints
(1.School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China;2.Information Technology Security Evaluation Center, University of Science and Technology of China, Hefei 230027, China)
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Received:February 21, 2017    Revised:March 23, 2017
中文摘要: 大量的研究表明,临床路径在提高医院运行效率上发挥了极大的作用,但是怎样方便快捷地找到某种疾病的临床路径是一个关键的问题.随着信息技术的发展,数据存储能力以及数据收集能力的提高,各大中型医院都积累了大量的临床诊疗数据,这为数据挖掘技术应用到临床路径发现提供了基础.在这篇文章中,我们把临床路径挖掘问题抽象成频繁序列模式挖掘问题,我们首次提出了临床路径前缀集的概念,并在此基础上提出了基于前缀集的临床路径挖掘算法CPM-PC (Clinical Pathways Mining with Prefix Constraints),这个算法更适用于临床路径挖掘,挖掘出的序列模式有更强的医学意义,这个算法已经被应用到一个真实的数据集上并且取得良好的效果.
Abstract:As lots of research has discussed, clinical pathways provide an effective way for improving the efficiency of hospitals. However, how to find useful clinical pathways conveniently is a problem. With the rapid development of networking, data storage and the data collections capacity, the hospitals have accumulated a large number of clinical data. In this paper, we characterize the problem of mining clinical pathways as a sequential patterns mining problem. We propose the concept of prefix of CP and integrate the prefix set into our algorithm CPM-PC:Clinical Pathways Mining with Prefix Constraints. The algorithm is more suitable for mining clinical pathways and will not search the sequences that has no medical significance. And the method has been applied to a real world data set to find clinical pathways and performs well.
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韩旭,庄严,程绍银.基于前缀集约束的临床路径挖掘算法.计算机系统应用,2017,26(11):220-225
HAN Xu,ZHUANG Yan,CHENG Shao-Yin.Mining Clinical Pathways Algorithm Based on Prefix Constraints.COMPUTER SYSTEMS APPLICATIONS,2017,26(11):220-225