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Computational Methods and Tools for Decision Support in Biomedicine: An Overview of Algorithmic Challenges

Computational Methods and Tools for Decision Support in Biomedicine: An Overview of Algorithmic Challenges

Ioannis Dimou, Michalis Zervakis, David Lowe, Manolis Tsiknakis
Copyright: © 2009 |Pages: 17
ISBN13: 9781605663142|ISBN10: 160566314X|EISBN13: 9781605663159
DOI: 10.4018/978-1-60566-314-2.ch001
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MLA

Dimou, Ioannis, et al. "Computational Methods and Tools for Decision Support in Biomedicine: An Overview of Algorithmic Challenges." Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications, edited by Themis P. Exarchos, et al., IGI Global, 2009, pp. 1-17. https://doi.org/10.4018/978-1-60566-314-2.ch001

APA

Dimou, I., Zervakis, M., Lowe, D., & Tsiknakis, M. (2009). Computational Methods and Tools for Decision Support in Biomedicine: An Overview of Algorithmic Challenges. In T. Exarchos, A. Papadopoulos, & D. Fotiadis (Eds.), Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications (pp. 1-17). IGI Global. https://doi.org/10.4018/978-1-60566-314-2.ch001

Chicago

Dimou, Ioannis, et al. "Computational Methods and Tools for Decision Support in Biomedicine: An Overview of Algorithmic Challenges." In Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications, edited by Themis P. Exarchos, Athanasios Papadopoulos, and Dimitrios I. Fotiadis, 1-17. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-314-2.ch001

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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.

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