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A Knowledge-Based System to Support Emergency Medical Services for Disabled Patients

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Artificial Intelligence in Medicine (AIME 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5651))

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Abstract

This paper illustrates a knowledge based system devoted to help nurses and volunteers of Emergency Medical Services (EMS) in dealing with disabled patients during an emergency.

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References

  1. Binsted, K., Cawsey, A., Jones, R.B.: Generating Personalised Information using the Medical Record. In: Wyatt, J.C., Stefanelli, M., Barahona, P. (eds.) AIME 1995. LNCS, vol. 934, pp. 29–41. Springer, Heidelberg (1995)

    Chapter  Google Scholar 

  2. Chittaro, L.: Visualizing Information on Mobile Devices. IEEE Computer 39(3), 40–45 (2006)

    Article  Google Scholar 

  3. Center for Development and Disability. Tips for First Responders, 3rd edn.

    Google Scholar 

  4. Chittaro, L., Ranon, R., De Marco, L., Senerchia, A.: User modeling of disabled persons for generating instructions to medical first responders. In: Proc. UMAP 2009 Internat. Conf. on User Modeling, Adaptation, and Personalization. Springer, Berlin (2009)

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  5. Shiffman, R.N., Karras, B.T., Agrawal, A., Chen, R., Marenco, L., Nath, S.: GEM: A proposal for a more comprehensive guideline document model using XML. Journal of the American Medical Informatics Association 7, 488–498 (2000)

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  6. Cabas Vidani, A., Chittaro, L.: Using a Task Modeling Formalism in the Design of Serious Games for Emergency Medical Procedures. In: Proc. IEEE VS-GAMES Internat. Conf. Games and Virtual Worlds for Serious Applications, pp. 95–102. IEEE Computer Society Press, Los Alamitos (2009)

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© 2009 Springer-Verlag Berlin Heidelberg

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Chittaro, L. et al. (2009). A Knowledge-Based System to Support Emergency Medical Services for Disabled Patients. In: Combi, C., Shahar, Y., Abu-Hanna, A. (eds) Artificial Intelligence in Medicine. AIME 2009. Lecture Notes in Computer Science(), vol 5651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02976-9_24

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  • DOI: https://doi.org/10.1007/978-3-642-02976-9_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02975-2

  • Online ISBN: 978-3-642-02976-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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