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Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic Web Based Healthcare Knowledge Morphing

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Artificial Intelligence in Medicine (AIME 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5651))

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Abstract

Healthcare decision making demands the systematic integration of knowledge from multiple sources, such as clinical guidelines, clinical pathways, knowledge of practitioners and so on. We present a semantic web based approach for synthesizing health knowledge through the semantic modeling of healthcare knowledge as ontologies and reasoning over the ontologies to derive a morphed knowledge object. We demonstrate the application of our approach by generating morphed knowledge about prostate cancer clinical pathways.

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References

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Authors and Affiliations

  1. NICHE Research Group, Faculty of Computer Science, Dahousie University, Canada

    Sajjad Hussain & Syed Sibte Raza Abidi

Authors
  1. Sajjad Hussain
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  2. Syed Sibte Raza Abidi
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Editor information

Editors and Affiliations

  1. University of Verona, Department of Computer Science, Ca’ Vignal 2, strada le Grazie 15, 37134, Verona, Italy

    Carlo Combi

  2. Department of Information Systems Engineering, Ben Gurion University of the Negev, P.O. Box 653, 84105, Beer-Sheva, Israel

    Yuval Shahar

  3. Department of Medical Informatics, University of Amsterdam, Academic Medical Center, Meibergdreef 15, 1105, Amsterdam, AZ, The Netherlands

    Ameen Abu-Hanna

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© 2009 Springer-Verlag Berlin Heidelberg

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Hussain, S., Abidi, S.S.R. (2009). Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic Web Based Healthcare Knowledge Morphing. In: Combi, C., Shahar, Y., Abu-Hanna, A. (eds) Artificial Intelligence in Medicine. AIME 2009. Lecture Notes in Computer Science(), vol 5651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02976-9_23

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  • DOI: https://doi.org/10.1007/978-3-642-02976-9_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02975-2

  • Online ISBN: 978-3-642-02976-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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