Computational methods and tools for decision support in biomedicine: an overview of algorithmic challenges

Ioannis N. Dimou, Michalis E. Zervakis, David Lowe, Manolis Tsiknakis

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The automation of diagnostic tools and the increasing availability of extensive medical datasets in the last decade have triggered the development of new analytical methodologies in the context of biomedical informatics. The aim is always to explore a problem's feature space, extract useful information and support clinicians in their time, volume, and accuracy demanding decision making tasks. From simple summarizing statistics to state-of-the-art pattern analysis algorithms, the underlying principles that drive most medical problems show trends that can be identified and taken into account to improve the usefulness of computerized medicine to the field-clinicians and ultimately to the patient. This chapter presents a thorough review of this field and highlights the achievements and shortcomings of each family of methods. The authors' effort has been focused on methodological issues as to generalize useful conclusions based on the large number of notable, yet case-specific developments presented in the field.

Original languageEnglish
Title of host publicationHandbook of research on advanced techniques in diagnostic imaging and biomedical applications
EditorsThemis P. Exarchos, Athanasios Papadopoulos, Dimitrios I. Fotiadis
PublisherIGI Global
Pages1-17
Number of pages17
ISBN (Electronic)978-1-605-66315-9
ISBN (Print)978-1-605-66314-2
DOIs
Publication statusPublished - Apr 2009

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