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Visualisation of Multidimensional Data for Medical Decision Support

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Artificial Intelligence in Medicine (AIME 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2101))

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Abstract

Medical decision support tools are not widely used by clinicians, perhaps because most do not explain the decisions. We describe an approach for case-based systems using automated pattern recognition techniques. Multivariate methods estimate the degree of similarity between a new case and those in the database, and graphical displays allow users to combine this information with their own expertise. The approach is demonstrated by an example, the SpectraVisualizer, which allows radiologists to interpret magnetic resonance spectra. The variables in the overview are derived directly from the signals obtained from the scanner. Spectra with similar classiffication profiles can be linked to clinical history, images and expert commentary.

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References

  1. J. Fox. Computers, decision making and clinical effectiveness. In Jo Lenagham, editor, Rethinking Information Technology in Health. Institute of Public Policy Research, 1998.

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Author information

Authors and Affiliations

  1. CRC Biomedical MR Research Group, St George’s Hospital Medical School, University of London, Cranmer Terrace, London, UK

    A. Rosemary Tate, Christophe Ladroue & John R. Griffiths

  2. School of Cognitive and Computing Sciences, University of Sussex, Falmer, Brighton, UK

    Joshua Underwood & Rosemary Luckin

Authors
  1. A. Rosemary Tate
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  2. Joshua Underwood
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  3. Christophe Ladroue
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  4. Rosemary Luckin
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  5. John R. Griffiths
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Pavia, Via Ferrata, 1, 27100, Pavia, Italy

    Silvana Quaglini

  2. Departamento de Informática Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2825-114, Caparica, Portugal

    Pedro Barahona

  3. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajersv ej 7D, 9220, AlborgØst, Denmark

    Steen Andreassen

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© 2001 Springer-Verlag Berlin Heidelberg

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Tate, A.R., Underwood, J., Ladroue, C., Luckin, R., Griffiths, J.R. (2001). Visualisation of Multidimensional Data for Medical Decision Support. In: Quaglini, S., Barahona, P., Andreassen, S. (eds) Artificial Intelligence in Medicine. AIME 2001. Lecture Notes in Computer Science(), vol 2101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48229-6_7

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  • DOI: https://doi.org/10.1007/3-540-48229-6_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42294-5

  • Online ISBN: 978-3-540-48229-1

  • eBook Packages: Springer Book Archive

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