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A general framework for building patient monitoring systems

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Artificial Intelligence in Medicine (AIME 1995)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 934))

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Abstract

This paper describes a general framework designed to assist the physician in the management of patients long-term monitoring. It exploits a temporal model based on the temporal primitives time-point and interval and provides powerful mechanisms performing temporal abstractions and temporal reasoning that can be used to assess the patient clinical evolution in various medical domains. The framework is integrated into a clinical workstation providing several tools designed to assist the clinical staff in the management of the patients records and in the definition of the domain-specific knowledge.

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References

  1. J. F. Allen. Towards a general theory of action and time. Artificial Intelligence, 23:123–154, 1984.

    Article  Google Scholar 

  2. W. J. Clancey. Heuristic classification. Artificial Intelligence, 27:289–350, 1985.

    Article  Google Scholar 

  3. C.S. Jensen et al. (editors). A consensus glossary of temporal database concepts Report R-93-2035, Aalborg University, November 1993

    Google Scholar 

  4. E.T. Keravnou and J. Washbrook. A temporal reasoning framework used in the diagnosis of skeletal dysplasias Artificial Intelligence in Medicine, 2:239–265, 1990

    Article  Google Scholar 

  5. C.D. Lane, Joan D. Walton, E.H. Shortliffe. Graphical Access to Medical Expert Systems: Design of an Interface for Physicians. Methods of Information in Medicine, 25:143–150, 1986.

    PubMed  Google Scholar 

  6. C. Larizza, A. Moglia, and M. Stefanelli. M-HTP: A system for monitoring heart transplant patients. Artificial Intelligence in Medicine, 4:111–126, 1992.

    Article  Google Scholar 

  7. Y. Shahar and M. Musen. RESUMÉ: a temporal-abstraction system for patient monitoring Computer and Biomedical Research 26, 255–273 1993.

    Article  Google Scholar 

  8. F. Steimann, K.P. Adlassing. Two-stage interpretation of ICU data based on fuzzy sets. Proceedings of AAAI 94 Spring Symposium, Stanford, 152–156, 1994

    Google Scholar 

  9. Paul C. Tang, Jurgen Annevelink, Henri J. Suermondt, Charles Y. Young. Semantic integration of information in a physician's workstation. International Journal of Bio-Medical Computing, 35:47–60, 1994.

    PubMed  Google Scholar 

  10. A. Tansel, J. Clifford, S. Gadia, S. Jajodia, A. Segev, R. Snodgrass (eds.). Temporal Databases': theory, design, and implementation Database Systems and Applications Series. Benjamin/Cummings, Redwood City, CA, 1993

    Google Scholar 

  11. T.D. Wade, P.J. Byrns, J.F. Steiner, J. Bondy. Finding temporal patterns — A set-based approach. Artificial Intelligence in Medicine, 6:263–271, 1994.

    PubMed  Google Scholar 

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Authors and Affiliations

  1. Dipartimento di Informatica e Sistemistica, Università di Pavia, Italy

    Cristiana Larizza, Gabriele Bernuzzi & Mario Stefanelli

Authors
  1. Cristiana Larizza
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  2. Gabriele Bernuzzi
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  3. Mario Stefanelli
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Editor information

Pedro Barahona Mario Stefanelli Jeremy Wyatt

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© 1995 Springer-Verlag Berlin Heidelberg

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Larizza, C., Bernuzzi, G., Stefanelli, M. (1995). A general framework for building patient monitoring systems. In: Barahona, P., Stefanelli, M., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1995. Lecture Notes in Computer Science, vol 934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60025-6_128

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  • DOI: https://doi.org/10.1007/3-540-60025-6_128

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60025-1

  • Online ISBN: 978-3-540-49407-2

  • eBook Packages: Springer Book Archive

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