Data Mining of Time-Series Medical Data by Formal Concept Analysis

Authors:
Kenji Sato;Yoshiaki Okubo;Makoto Haraguchi;Susumu Kunifuji
Affiliations:
School of Knowledge Science Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi-City, Ishikawa 923-1292, Japan;Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University, N-14 W-9, Sapporo 060-0814, Japan;Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University, N-14 W-9, Sapporo 060-0814, Japan;School of Knowledge Science Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi-City, Ishikawa 923-1292, Japan
Venue:
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Year:
2007

Citing 2
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Abstract

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.