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Agents Vote against Falls: The Agent Perspective in EPRs

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 7879)

Abstract

In this work we present an agent-based fall-risk assessment tool which is self-learning. As part of a mobile electronic patient record (EPR) each patient is represented by its agent which helps to lift the treasure of data offered by combining multiple EPRs in order to reveal personalized health-care. To learn from the data provided by the population under care, we enabled the patient agents to negotiate about possible fall-risk indicators using a distributed information fusion and opinion aggregation technique.

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  • DOI: 10.1007/978-3-642-38073-0_23
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References

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Ahrndt, S., Fähndrich, J., Albayrak, S. (2013). Agents Vote against Falls: The Agent Perspective in EPRs. In: Demazeau, Y., Ishida, T., Corchado, J.M., Bajo, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. PAAMS 2013. Lecture Notes in Computer Science(), vol 7879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38073-0_23

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  • DOI: https://doi.org/10.1007/978-3-642-38073-0_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38072-3

  • Online ISBN: 978-3-642-38073-0

  • eBook Packages: Computer ScienceComputer Science (R0)