Fuzzy Systems in Biomedicine

Authors:
Georgios Dounias
Affiliations:
University of the Aegean, Business School, Department of Financial and Management Engineering, 31 Fostini Street, 82100 Chios, Greece Phone: +30-22710-35454, Fax: +30-22710-35409 e-mail: g.dounias ...
Venue:
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Year:
2007

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Abstract

The chapter presents recent advances of fuzzy systems in biomedicine. A short introduction is made on the main concepts of fuzzy sets theory. Then, a survey of recent research reports (2000 and beyond) is performed, in order to map existing theoretical trends in fuzzy systems in biomedicine, as well as important real-world biomedical applications using fuzzy sets theory. The surveyed research reports are divided into different categories either (a) according to the medical practice (diagnosis, therapy and imaging-including signal processing) or (b) according to the kind of problem faced (device control, biological control, classification and pattern analysis, and prediction-association). Recently emerging biological topics related to gene expression data, molecular-cellular analysis and bioinformatics, using fuzzy sets theory, are also reported in the chapter.