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Visualizing Temporal Clinical Data on the WWW

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Artificial Intelligence in Medicine (AIMDM 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1620))

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Abstract

This paper deals with the visualization of complex objects on the WWW. In considering complex data our focus is in particular on temporal clinical information given at different levels of granularity or with indeterminacy. We propose some tools and graphic notations to visualize temporal data, according to two different modalities: the first one based on the time axis, displaying the absolute location of temporal data; the second one allowing the user to focus on different temporal relations among data. The designed and developed tools for visualizing temporal clinical data are part of a prototype, allowing a general practitioner to access on the WWW, from his ambulatory office or from home, clinical data related to his referred cardiological patients.

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References

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Author information

Authors and Affiliations

  1. Dipartimento di Matematica e Informatica, Universita' degli Studi di Udine, via delle Scienze 206, 33100, Udine, Italy

    Carlo Combi

  2. 3D Image Processing & Synthesis Laboratory - SAIA - ISIS, Joint Research Centre of the European Commission, Ispra, Italy

    Luisa Portoni

  3. Dipartimento di Bioingegneria, Politecnico di Milano and Centro di Ingegneria Biomedica del CNR, Milano

    Francesco Pinciroli

Authors
  1. Carlo Combi
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  2. Luisa Portoni
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  3. Francesco Pinciroli
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Editor information

Editors and Affiliations

  1. Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010, Vienna, Austria

    Werner Horn

  2. Department of Medicine and Computer Science, Stanford University, 251 Campus Drive, Stanford, CA, 94305-5479, USA

    Yuval Shahar

  3. Department of Medicine Karolinska Institutet, Huddinge University Hospital, Sweden

    Greger Lindberg

  4. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajers Vej 7D, DK-9000, Aalborg, Denmark

    Steen Andreassen

  5. School of Public Policy, University College London, 29/30 Tavistock Square, London, WC1H 9EZ, UK

    Jeremy Wyatt

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© 1999 Springer-Verlag Berlin Heidelberg

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Combi, C., Portoni, L., Pinciroli, F. (1999). Visualizing Temporal Clinical Data on the WWW. In: Horn, W., Shahar, Y., Lindberg, G., Andreassen, S., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIMDM 1999. Lecture Notes in Computer Science(), vol 1620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48720-4_33

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  • DOI: https://doi.org/10.1007/3-540-48720-4_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66162-7

  • Online ISBN: 978-3-540-48720-3

  • eBook Packages: Springer Book Archive

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