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Detection of Infectious Outbreaks in Hospitals through Incremental Clustering

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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

This paper highlights the shortcomings of current systems of nosocomial infection control and shows how techniques borrowed from statistics and Artificial Intelligence, in particular clustering, can be used effectively to enhance these systems beyond confirmation and into the more important realms of detection and prediction. A tool called HIC and examined in collaboration with the Cardiff Public Health Laboratory is presented. Preliminary experiments with the system demonstrate promise. In particular, the system was able to uncover a previously undiscovered cross-infection incident.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Bristol, Bristol, UK

    Timothy Langford & Christophe Giraud-Carrier

  2. Department of Medicine, Microbiology and Public Health Laboratory, Cardiff, UK

    John Magee

Authors
  1. Timothy Langford
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  2. Christophe Giraud-Carrier
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  3. John Magee
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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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Langford, T., Giraud-Carrier, C., Magee, J. (2001). Detection of Infectious Outbreaks in Hospitals through Incremental Clustering. 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_4

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  • DOI: https://doi.org/10.1007/3-540-48229-6_4

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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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