[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content
Springer Nature Link
Log in

Visualisation of Multidimensional Data for Medical Decision Support

  • Conference paper
  • First Online:
Artificial Intelligence in Medicine (AIME 2001)

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

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

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.

    Google Scholar 

  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. 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.

    Article  Google Scholar 

  4. W. J. Krzanowski. Principles of Multivariate Analysis. Clarendon Press, Oxford, 1988.

    MATH  Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Joshua Underwood
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Christophe Ladroue
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Rosemary Luckin
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. John R. Griffiths
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42294-5

  • Online ISBN: 978-3-540-48229-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation