Rough set based feature selection for improved differentiation of traditional Chinese medical data

Abstract

Medical data often contains a large number of irrelevant and redundant features and a relatively small number of cases, which dramatically impact quality of diseases diagnosis. Hence, in quest for higher differentiation quality, feature selection is expected to improve differentiation performance. In this paper, we describe a heuristic approach based on… (More)
DOI: 10.1109/FSKD.2010.5569782

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