Detection of Risk Factors as Temporal Data Mining

Authors:
Shoji Hirano;Shusaku Tsumoto
Affiliations:
Department of Medical Informatics, Shimane University, School of Medicine, Shimane, Japan 693-8501;Department of Medical Informatics, Shimane University, School of Medicine, Shimane, Japan 693-8501
Venue:
New Frontiers in Applied Data Mining
Year:
2009

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Abstract

Hosptial information system (HIS) collects all the data from all the branches of departments in a hospital, including laboratory tests,physiological tests, electronic patient records. Thus, HIS can be viewed as a large heterogenous database, which stores chronological changes in patients' status. In this paper, we applied trajectory mining method to the data extracted from HIS. Experimental results demonstrated that the method could find the groups of trajectories which reflects temporal covariance of laboratory examinations.