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

Shoji Hirano; Shusaku Tsumoto

doi:10.1117/12.720169

9 April 2007 Discovery of exacerbating cases in chronic hepatitis based on cluster analysis of time-series platelet count data

Shoji Hirano, Shusaku Tsumoto

Author Affiliations +

Proceedings Volume 6570, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007; 65700F (2007) https://doi.org/10.1117/12.720169
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Shoji Hirano and Shusaku Tsumoto "Discovery of exacerbating cases in chronic hepatitis based on cluster analysis of time-series platelet count data", Proc. SPIE 6570, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007, 65700F (9 April 2007); https://doi.org/10.1117/12.720169

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