Temporal Data Mining in Hospital Information Systems: Analysis of Clinical Courses of Chronic Hepatitis
Shoji Hirano, Shusaku Tsumoto · International Journal of Intelligent Computing in Medical Sciences & Image Processing · 2007
This paper presents a new approach to fmding interesting knowledge from temporal data on chronic diseases based on the combination of advanced sequence comparison techniques and cluster analysis procedure. First we briefly introduce the cluster analysis system for temporal data that we have developed. Second, we apply it to the analysis of platelet (PLT) count data on chronic viral hepatitis patients. Third, we show the results of PLT value-based temporal analysis, conducted based on the results of cluster analysis, aiming at finding years for reaching F4 (liver fibrosis stage four), years elapsed between stages, and their relationships with virus types and fibrotic stages. The results conveyed some interesting fmdings; (1) the temporal courses of PLT could be grouped into several patterns exhibiting similar average PLT level and increase/decrease trends, and (2) liver fibrosis might proceed faster in some exacerbating cases.