Perspective Wall Technique for Visualizing and Interpreting Medical Data

Perspective Wall Technique for Visualizing and Interpreting Medical Data

Hela Ltifi (REsearch Group on Intelligent Machines, National School of Engineers, University of Sfax, Sfax, Tunisia), Mounir Ben Ayed (REsearch Group on Intelligent Machines, National School of Engineers, University of Sfax, Sfax, Tunisia), Ghada Trabelsi (REsearch Group on Intelligent Machines, National School of Engineers, University of Sfax, Sfax, Tunisia) and Adel M. Alimi (REsearch Group on Intelligent Machines, National School of Engineers, University of Sfax, Sfax, Tunisia)
Copyright: © 2012 |Pages: 17
DOI: 10.4018/jkdb.2012040104
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Abstract

Increasing the improvement of confidence and comprehensibility of medical data as well as the possibility of using the human capacities in medical pattern recognition is a significant interest for the coming years. In this context, we have created a visual knowledge discovery from databases application. It has been developed to efficiently and accurately understand a large collection of fixed and temporal patients’ data in the Intensive Care Unit in order to prevent the nosocomial infection occurrence. It is based on data visualization technique which is the perspective wall. Its application is a good example of the usefulness of data visualization techniques in the medical domain.
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2. Theoretical Background

Traditional decision-support tools (e.g., OLAP, Info-center, dashboard, ERP) leave the initiative for the users to choose the elements that they want to observe or analyze. In Knowledge Discovery in Databases (KDD) (Fayyad et al., 1996; Hand & Mannila, 2001), the system often takes the initiative to discover the connections between the data elements. It is then possible, to a certain extent, to predict the future based on the past. The goal of the KDD is to be able to extract data elements, in other words, knowledge. We can also say that we try to “[extract] new, useful, and valid knowledge from a mass of data” (Fayyad et al., 1996).

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