作者: Loris Nanni , Sheryl Brahnam , Alessandra Lumini , Tonya Barrier
DOI: 10.1007/978-3-642-16095-0_4
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摘要: In this paper we make an extensive study of Artificial Intelligence (AI) techniques that can be used in decision support systems healthcare. particular, propose variants ensemble methods (i.e., Rotation Forest and Input Decimated Ensembles) are based on perturbing features, a wide comparison among the approaches. We illustrate power these by applying our approaches to different healthcare problems. Included chapter is background material single classifier systems, methods, feature transforms experimental section.