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2016 | OriginalPaper | Buchkapitel

Visual Intelligent Decision Support Systems in the Medical Field: Design and Evaluation

verfasst von : Hela Ltifi, Mounir Ben Ayed

Erschienen in: Machine Learning for Health Informatics

Verlag: Springer International Publishing

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Abstract

The tendency for visual data mining applications in the medical field is increasing, because it is rich with temporal information, furthermore visual data mining is becoming a necessity for intelligent analysis and graphical interpretation. The use of interactive machine learning allows to improve the quality of medical decision-making processes by effectively integrating and visualizing discovered important patterns and/or rules. This chapter provides a survey of visual intelligent decision support systems in the medical field. First, we highlight the benefits of combining potential computational capabilities of data mining with human judgment of visualization techniques for medical decision-making. Second, we introduce the principal challenges of such decision systems, including the design, development and evaluation. In addition, we study how these methods were applied in the medical domain. Finally, we discuss some open questions and future challenges.

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Vorheriges Kapitel Challenges of Medical Text and Image Processing: Machine Learning Approaches

Nächstes Kapitel A Master Pipeline for Discovery and Validation of Biomarkers

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Titel: Visual Intelligent Decision Support Systems in the Medical Field: Design and Evaluation
verfasst von: Hela Ltifi
Mounir Ben Ayed
Verlag: Springer International Publishing
Buch: Machine Learning for Health Informatics
Print ISBN: 978-3-319-50477-3

Electronic ISBN: 978-3-319-50478-0

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-50478-0_12

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