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The Intelligent Ventilator Project: Application of Physiological Models in Decision Support

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Artificial Intelligence in Medicine (AIME 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6747))

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Abstract

This paper describes progress in a model-based approach to building a decision support system for mechanical ventilation. It highlights that the process of building models promotes generation of ideas and describes three systems resulting from this process, i.e. for assessing pulmonary gas exchange, calculating arterial acid-base status; and optimizing mechanical ventilation. Each system is presented and its current status and impact reviewed.

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Author information

Authors and Affiliations

  1. Center for Model-based Medical Decision Support (MMDS), Instiutute of Health Science and Technology, Aalborg University, Aalborg, Denmark

    Stephen E. Rees, Dan S. Karbing, Charlotte Allerød & Steen Andreassen

  2. Department of Anaesthesia, Aalborg Hospital, Denmark

    Charlotte Allerød, Marianne Toftegaard, Per Thorgaard & Søren Kjærgaard

  3. The Faculty of Medicine, Aalborg University, Denmark

    Egon Toft

  4. MMDS, Aalborg University, Fredrik Bajers vej 7E, 9220, Aalborg, Denmark

    Egon Toft

Authors
  1. Stephen E. Rees
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  2. Dan S. Karbing
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  3. Charlotte Allerød
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  4. Marianne Toftegaard
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  5. Per Thorgaard
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  6. Egon Toft
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  7. Søren Kjærgaard
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  8. Steen Andreassen
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Editor information

Editors and Affiliations

  1. Faculty of Social Sciences, Department of Information Systems, University of Haifa,, Rabin Bldg., 31905, Haifa, Israel

    Mor Peleg

  2. Department of Knowledge Technologies, Jožef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia

    Nada Lavrač

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

    Carlo Combi

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© 2011 Springer-Verlag Berlin Heidelberg

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Rees, S.E. et al. (2011). The Intelligent Ventilator Project: Application of Physiological Models in Decision Support. In: Peleg, M., Lavrač, N., Combi, C. (eds) Artificial Intelligence in Medicine. AIME 2011. Lecture Notes in Computer Science(), vol 6747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22218-4_19

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  • DOI: https://doi.org/10.1007/978-3-642-22218-4_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22217-7

  • Online ISBN: 978-3-642-22218-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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