Rough sets in medical informatics applications

Aboul Ella Hassanien, Ajith Abraham, James F. Peters, Gerald Schaefer

    Research output: Chapter in Book/Published conference outputConference publication


    Rough sets offer an effective approach of managing uncertainties and can be employed for tasks such as data dependency analysis, feature identification, dimensionality reduction, and pattern classification. As these tasks are common in many medical applications it is only natural that rough sets, despite their relative 'youth' compared to other techniques, provide a suitable method in such applications. In this paper, we provide a short summary on the use of rough sets in the medical informatics domain, focussing on applications of medical image segmentation, pattern classification and computer assisted medical decision making.

    Original languageEnglish
    Title of host publicationAdvances in Intelligent and Soft Computing
    Number of pages8
    ISBN (Print)9783540896180
    Publication statusPublished - 1 Jan 2009

    Publication series

    NameAdvances in Intelligent and Soft Computing
    ISSN (Print)18675662


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