Towards an intelligent evaluation method of medical data visualizations

In this paper we evaluate interactive visualizations generated by existing medical tool used to visualize patients' fixed and temporal data. It has been developed to better understand a large collection of patients' data in the Intensive Care Unit in order to daily prevent the nosocomial infection occurrence. Existing visualization evaluation studies introduce a variety of classical and novel evaluation methods but we need to integrate more intelligent techniques for the evaluation of visual analytics tasks of medical data. The proposed method consists of interpreting and analyzing initial evaluation results using fuzzy logic technique. Such technique allows intelligent analysis of the evaluation results. Our contribution tends to propose a more novel and interesting method to reach high performance in evaluation procedure.