Data mining of time-series medical data by formal concept analysis

被引：0

作者：

Sato, Kenji ^{[1
]}

Okubo, Yoshiaki ^{[2
]}

Haraguchi, Iakoto ^{[2
]}

Kunifuji, Susumu ^{[1
]}

机构：

[1] Japan Adv Inst Sci & Technol, Sch Knowledge Sci, 1-1 Asahidai, Nomi, Ishikawa 9231292, Japan

[2] Hokkaido Univ, Grad Sch Informat Sci & Technol, Div Comp Sci, Sapporo, Hokkaido 0600814, Japan

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT II, PROCEEDINGS | 2007年 / 4693卷

关键词：

clustering; medical case search system; formal concept analysis; time series data;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1214 / 1221

页数：8

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