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A Decision-Support System for the Identification, Staging, and Functional Evaluation of Liver Diseases (HEPASCORE)

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Artificial Intelligence in Medicine (AIMDM 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1620))

Abstract

HEPASCORE has been developed to optimize the application of objective criteria for qualitative and quantitative assessment of liver function. Early recognition of abnormal liver states is performed according to a sequential approach, based at first on clinical rules using data from history and physical examination, then confirming or denying the hypothesis by means of selected laboratory tests. Once an abnormal condition is defined, clinical severity can be evaluated using suitable scores. In addition, selected sets of biochemical tests can be used to score one or more functional aspects. HEPASCORE has been successfully applied to exclude liver abnormalities in subjects at risk, to follow-up liver patients, to predict the natural outcomes of severe liver diseases, to foresee the adverse effects of drugs undergoing firstpass liver extraction and the side effects of invasive procedures.

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Author information

Authors and Affiliations

  1. Division of General Medicine A and Clinical Informatic Laboratory, San Giovanni Battista Hospital of Turin, C.so Bramante 88, 10126, Turin, Italy

    Mauro Torchio, Stefania Battista, Fabrizio Ba, Cristina Pollet, Marina Marzuoli, Maria Cesira Bucchi & Gianpaolo Molino

  2. “Baldi & Riberi” Laboratory, San Giovanni Battista Hospital of Turin, C.so Bramante 88, 10126, Turin, Italy

    Roberto Pagni

Authors
  1. Mauro Torchio
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  2. Stefania Battista
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  3. Fabrizio Ba
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  4. Cristina Pollet
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  5. Marina Marzuoli
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  6. Maria Cesira Bucchi
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  7. Roberto Pagni
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  8. Gianpaolo Molino
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Editor information

Editors and Affiliations

  1. Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010, Vienna, Austria

    Werner Horn

  2. Department of Medicine and Computer Science, Stanford University, 251 Campus Drive, Stanford, CA, 94305-5479, USA

    Yuval Shahar

  3. Department of Medicine Karolinska Institutet, Huddinge University Hospital, Sweden

    Greger Lindberg

  4. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajers Vej 7D, DK-9000, Aalborg, Denmark

    Steen Andreassen

  5. School of Public Policy, University College London, 29/30 Tavistock Square, London, WC1H 9EZ, UK

    Jeremy Wyatt

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© 1999 Springer-Verlag Berlin Heidelberg

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Torchio, M. et al. (1999). A Decision-Support System for the Identification, Staging, and Functional Evaluation of Liver Diseases (HEPASCORE). In: Horn, W., Shahar, Y., Lindberg, G., Andreassen, S., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIMDM 1999. Lecture Notes in Computer Science(), vol 1620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48720-4_17

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  • DOI: https://doi.org/10.1007/3-540-48720-4_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66162-7

  • Online ISBN: 978-3-540-48720-3

  • eBook Packages: Springer Book Archive

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