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Does Adapted Information Help Patients with Cancer?

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User Modeling 2003 (UM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2702))

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Abstract

Models of patients’ information needs have great potential in improvinghealth information. Such models can adapt information to patients’ medical circumstances, educational level and psychological needs. However, building these models and the information systems based on them can be difficult and costly, and it is difficult to assess the benefits of such systems for the patients. We describe a study to compare the psychological effects for cancer patients of tailored information against information that has not been tailored.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS, UK

    Diana Bental & Alison Cawsey

  2. Department of Public Health, University of Glasgow, Glasgow, UK

    Janne Pearson & Ray Jones

Authors
  1. Diana Bental
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  2. Alison Cawsey
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  3. Janne Pearson
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  4. Ray Jones
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Editor information

Editors and Affiliations

  1. School of Information Sciences, Department of Information Science and Telecommunications, University of Pittsburgh, 135 North Bellefield Avenue, Pittsburgh, PA, 15260, USA

    Peter Brusilovsky

  2. Human Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Albert Corbett

  3. Intelligent Interfaces, Department of Informatics, University of Bari, Via Orabona 4, 70126, Bari, Italy

    Fiorella de Rosis

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© 2003 Springer-Verlag Berlin Heidelberg

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Bental, D., Cawsey, A., Pearson, J., Jones, R. (2003). Does Adapted Information Help Patients with Cancer?. In: Brusilovsky, P., Corbett, A., de Rosis, F. (eds) User Modeling 2003. UM 2003. Lecture Notes in Computer Science(), vol 2702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44963-9_38

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  • DOI: https://doi.org/10.1007/3-540-44963-9_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40381-4

  • Online ISBN: 978-3-540-44963-8

  • eBook Packages: Springer Book Archive

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