| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 425009 | Future Generation Computer Systems | 2014 | 11 Pages | 
Abstract
												•Temporal data mining process for hospital management was proposed.•The chronological overview of hospital activities was visualized.•Clustering was applied for showing temporal characteristics of divisions.•Trajectories mining was applied for capturing characteristics of divisions.•Similarity-based analysis were applied for characterizing nursing orders.
This paper presents data mining results in which the temporal behavior of global hospital activities is visualized. The results show that the reuse of stored data will provide a powerful tool for hospital management and lead to improvement of hospital services.
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											Authors
												Shusaku Tsumoto, Haruko Iwata, Shoji Hirano, Yuko Tsumoto, 
											