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Proceedings Paper

Discovery of exacerbating cases in chronic hepatitis based on cluster analysis of time-series platelet count data
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Paper Abstract

This paper reports the results of temporal analysis of platelet (PLT) data in chronic hepatitis dataset. First we briefly introduce a cluster analysis system for temporal data that we have developed. Second, we show the results of cluster analysis of PLT sequences. Third, we show the results of PLT value-based temporal analysis aiming at finding years for reaching F4, years elapsed between stages, and their relationships with virus types and fibrotic stages. The results of cluster analysis indicate that the temporal courses of PLT can be grouped into several patterns each of which presents similarity in average PLT level and increase/decrease trends. The results of value-based analysis suggests that liver fibrosis may proceed faster in the exacerbating cases.

Paper Details

Date Published: 9 April 2007
PDF: 8 pages
Proc. SPIE 6570, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007, 65700F (9 April 2007); doi: 10.1117/12.720169
Show Author Affiliations
Shoji Hirano, Shimane Univ. (Japan)
Shusaku Tsumoto, Shimane Univ. (Japan)


Published in SPIE Proceedings Vol. 6570:
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007
Belur V. Dasarathy, Editor(s)

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