Title
Data mining based on intelligent systems for decision support systems in healthcare
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. © 2010 Springer-Verlag Berlin Heidelberg.
Department(s)
Information Technology and Cybersecurity
Document Type
Article
DOI
https://doi.org/10.1007/978-3-642-16095-0_4
Keywords
decision trees, input decimated ensembles, medical decision support systems, multiclassifier systems, rotation forest
Publication Date
11-4-2010
Recommended Citation
Nanni, Loris, Sheryl Brahnam, Alessandra Lumini, and Tonya Barrier. "Data mining based on intelligent systems for decision support systems in healthcare." In Advanced Computational Intelligence Paradigms in Healthcare 5, pp. 45-65. Springer, Berlin, Heidelberg, 2010.
Journal Title
Studies in Computational Intelligence
