Data Mining of Time-Series Medical Data by Formal Concept Analysis
Data Mining of Time-Series Medical Data by Formal Concept Analysis
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DOI：
10.1007/978-3-540-74827-4_151
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发表时间：
2007-09
期刊：
影响因子：
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通讯作者：
Kenji Sato;Yoshiaki Okubo;M. Haraguchi;S. Kunifuji
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文献类型：
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作者：
Kenji Sato;Yoshiaki Okubo;M. Haraguchi;S. Kunifuji
本文提出了一种基于形式概念分析的时序医学数据聚类方法。我们制作了一个原型系统，并通过将其应用于多个医疗案例进行了验证。在 FCA 的帮助下，我们的集群可以被明确地提供更有说服力的含义。我们计划继续下去，并通过将其应用于数百个医疗案例来验证该方法的实用性。
This paper presents a method for clustering time-series medical data based on Formal Concept Analysis. We made a prototype system, and verified it by applying it to several medical cases. Our clusters can be explicitly provided with more convincing meanings, with the help of FCA. We plan to continue, and to verify the practicality of this method by applying it to hundreds of medical cases.