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Computational Intelligence in Cognitive Healthcare Information Systems

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Computational Intelligence in Healthcare 4

Part of the book series: Studies in Computational Intelligence ((SCI,volume 309))

Abstract

This publication presents key problems of cognitive information systems. Cognitive data analysis systems will first be classified, then their genesis and development will be presented, and then their two main classes will be discussed: UBIAS (Understanding Based Image Analysis Systems) and UBMSS (Understanding Based Management Support Systems). The image analysis class is used to analyse the medical significance of lesions of various human organs. UBMSS systems provide automatic support for the strategic and financial decision-making process in enterprises. Due to the subject discussed here, UBMSS systems will be presented as assets supporting the management of medical units.

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Author information

Authors and Affiliations

  1. AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Krakow, Poland

    Lidia Ogiela

Authors
  1. Lidia Ogiela
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Editor information

Editors and Affiliations

  1. Institute of Technology/Computing and Software Systems, University ofWashington, Tacoma, 1900 Commerce Street, Campus Box 358426, 98402, Tacoma, WA, USA

    Isabelle Bichindaritz

  2. Flinders Medical Centre, Adelaide, South Australia, Australia

    Sachin Vaidya

  3. Royal Adelaide Hospital, Adelaide, South Australia, Australia

    Ashlesha Jain

  4. School of Electrical and Information Engineering, University of South Australia, SA 5095, South Australia, Australia

    Lakhmi C. Jain

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Ogiela, L. (2010). Computational Intelligence in Cognitive Healthcare Information Systems. In: Bichindaritz, I., Vaidya, S., Jain, A., Jain, L.C. (eds) Computational Intelligence in Healthcare 4. Studies in Computational Intelligence, vol 309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14464-6_16

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  • DOI: https://doi.org/10.1007/978-3-642-14464-6_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14463-9

  • Online ISBN: 978-3-642-14464-6

  • eBook Packages: EngineeringEngineering (R0)

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