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Visualisation of Multidimensional Data for Medical Decision Support

  • A. Rosemary Tate
  • Joshua Underwood
  • Christophe Ladroue
  • Rosemary Luckin
  • John R. Griffiths
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2101)

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.

Keywords

Linear Discriminant Analysis Multidimensional Data Pattern Recognition Technique High Grade Astrocytoma Expert Commentary 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    J. Fox. Computers, decision making and clinical effectiveness. In Jo Lenagham, editor, Rethinking Information Technology in Health. Institute of Public Policy Research, 1998.Google Scholar
  2. 2.
    E. Coiera. Question the assumptions. In P. Barahona and J. P. Christensen, editors, Knowledge and Decisions in Health Telematics — The Next Decade, pages 61–66. IOS Press, Amsterdam, 1994.Google Scholar
  3. 3.
    C. North and B. Shneiderman. Snap together visualization: Can users construct and operate coordinated visualizations? International Journal of Human-Computer Studies, 53:695–714, 2000.CrossRefGoogle Scholar
  4. 4.
    W. J. Krzanowski. Principles of Multivariate Analysis. Clarendon Press, Oxford, 1988.zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • A. Rosemary Tate
    • 1
  • Joshua Underwood
    • 2
  • Christophe Ladroue
    • 1
  • Rosemary Luckin
    • 2
  • John R. Griffiths
    • 1
  1. 1.CRC Biomedical MR Research Group, St George’s Hospital Medical SchoolUniversity of LondonCranmer TerraceUK
  2. 2.School of Cognitive and Computing SciencesUniversity of SussexFalmerUK

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