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The Application of Fuzzy Clustering in Life Quality Assessment of Lung Cancer Patients

Authors:
Peiyu Chen
Liying Fang
Pu Wang
Shuang Li

Keywords: fuzzy C-means clustering; time series; symbolization; GSP

Abstract:
In order to research the relationship between the FACT score and lung cancer patients’ tumor progression with the patients’ death situation, we manage to identify the variation tendency rules of the FACT score. This paper proposes a new, simple and efficient representation for the one-dimensional numerical time series. The representation uses the improved fuzzy C-means clustering algorithm to cluster all the sequence segments, realizing the symbolization of the numerical data sequence. At last,we find the frequent patterns in the new symbolic FACT score sequence. The relation between the FACT score and the patients’ death situation can be found through the experiments.

Pages: 308 to 310

Copyright: Copyright (c) IARIA, 2012

Publication date: June 24, 2012

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-202-8

Location: Venice, Italy

Dates: from June 24, 2012 to June 29, 2012