Cluster analysis of temporal trajectories of hospital laboratory examinations

Shoji Hirano; Shusaku Tsumoto

doi:10.1117/12.720168

9 April 2007 Cluster analysis of temporal trajectories of hospital laboratory examinations

Shoji Hirano, Shusaku Tsumoto

Proceedings Volume 6570, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007; 65700E (2007) https://doi.org/10.1117/12.720168
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

This paper proposes a new approach to temporal trajectory analysis for clinical laboratory examinations. When we select m laboratory examinations, their temporal evolution for one patient can be viewed as a trajectory in m-dimensional space. Multiscale comparison technique can be applied for segmentation and calculation of structural similarities of such trajectories. Then, clustering cna be applied to the calculated similarities for classiffication of these trajectories. The proposed method was evaluated on hepatitis datasets, whose results show that the clustering captured several interesting patterns for severe chronic hepatitis.

Citation Download Citation

Shoji Hirano and Shusaku Tsumoto "Cluster analysis of temporal trajectories of hospital laboratory examinations", Proc. SPIE 6570, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007, 65700E (9 April 2007); https://doi.org/10.1117/12.720168

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