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Prediction and Prognosis of Health and Disease

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Foundations of Biomedical Knowledge Representation

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9521))

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Abstract

Medical prognosis is defined as the prediction of the probable course and outcome of a disease. This prediction should facilitate understanding patterns of disease progression as well as its management.

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Notes

  1. 1.

    This and other images are created by means of GeNIe software [8] developed at the University of Pittsburgh and available at http://genie.sis.pitt.edu/.

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Author information

Authors and Affiliations

  1. Department of Pathology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, USA

    Agnieszka Onisko

  2. Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland

    Agnieszka Onisko & Marek J. Druzdzel

  3. School of Information Systems Computing and Maths, Brunel University, Uxbridge, UK

    Allan Tucker

  4. Decision Systems Laboratory, School of Information Sciences and Intelligent Systems Programs, University of Pittsburgh, Pittsburgh, USA

    Marek J. Druzdzel

Authors
  1. Agnieszka Onisko
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  2. Allan Tucker
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  3. Marek J. Druzdzel
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Corresponding author

Correspondence to Agnieszka Onisko .

Editor information

Editors and Affiliations

  1. Inst. for Computing and Inf. Sciences, Radboud University, Nijmegen, The Netherlands

    Arjen Hommersom

  2. Inst. for Computing and Inf. Sciences, Radboud University, Nijmegen, Gelderland, The Netherlands

    Peter J.F. Lucas

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Onisko, A., Tucker, A., Druzdzel, M.J. (2015). Prediction and Prognosis of Health and Disease. In: Hommersom, A., Lucas, P. (eds) Foundations of Biomedical Knowledge Representation. Lecture Notes in Computer Science(), vol 9521. Springer, Cham. https://doi.org/10.1007/978-3-319-28007-3_11

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  • DOI: https://doi.org/10.1007/978-3-319-28007-3_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28006-6

  • Online ISBN: 978-3-319-28007-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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