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

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Machine Learning for Health Informatics

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9605))

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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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Acknowledgements

The authors would like to acknowledge the financial support for this research by grants from the ARUB program under the jurisdiction of the General Direction of Scientific Research (DGRST) (Tunisia).

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Authors and Affiliations

  1. REsearch Groups on Intelligent Machines, National School of Engineers (ENIS), University of Sfax, BP 1173, 3038, Sfax, Tunisia

    Hela Ltifi & Mounir Ben Ayed

  2. Faculty of Sciences and Techniques of Sidi Bouzid, University of Kairouan, Kairouan, Tunisia

    Hela Ltifi

  3. Computer Sciences and Communication Department, Faculty of Sciences of Sfax, Route Sokra Km 3.5, BP 1171, 3000, Sfax, Tunisia

    Mounir Ben Ayed

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  1. Hela Ltifi
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Correspondence to Hela Ltifi .

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  1. Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Graz, Austria

    Andreas Holzinger

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Ltifi, H., Ayed, M.B. (2016). Visual Intelligent Decision Support Systems in the Medical Field: Design and Evaluation. In: Holzinger, A. (eds) Machine Learning for Health Informatics. Lecture Notes in Computer Science(), vol 9605. Springer, Cham. https://doi.org/10.1007/978-3-319-50478-0_12

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