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Visualization of doctors' behavior using similarity-based methods

Computerization of hospital information enables us to visualize and analyze temporal characteristics of hospital services, which can be viewed as a first step to improve and innovate clinical services. This paper proposes a temporal data mining process which consists of decision tree, clustering, MDS and three-dimensional trajectories mining. The results show that the reuse of stored data will give a powerful tool to characterize temporal trends of clinical actions in divisions of a hospital.