Chapter

Advanced Computational Intelligence Paradigms in Healthcare 5

Volume 326 of the series Studies in Computational Intelligence pp 45-65

Data Mining Based on Intelligent Systems for Decision Support Systems in Healthcare

  • Loris NanniAffiliated withDEIS, IEIIT—CNR, Università di Bologna
  • , Sheryl BrahnamAffiliated withComputer Information Systems, Missouri State University
  • , Alessandra LuminiAffiliated withDEIS, IEIIT—CNR, Università di Bologna
  • , Tonya BarrierAffiliated withComputer Information Systems, Missouri State University

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Abstract

In this paper we make an extensive study of Artificial Intelligence (AI) techniques that can be used in decision support systems in healthcare. In particular, we propose variants of ensemble methods (i.e., Rotation Forest and Input Decimated Ensembles) that are based on perturbing features, and we make a wide comparison among the ensemble approaches. We illustrate the power of these techniques by applying our approaches to different healthcare problems. Included in this chapter is extensive background material on the single classifier systems, ensemble methods, and feature transforms used in the experimental section.

Keywords

rotation forest input decimated ensembles multiclassifier systems decision trees medical decision support systems