Agents Vote against Falls: The Agent Perspective in EPRs

  • Sebastian Ahrndt
  • Johannes Fähndrich
  • Sahin Albayrak
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, 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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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Sebastian Ahrndt
    • 1
  • Johannes Fähndrich
    • 1
  • Sahin Albayrak
    • 1
  1. 1.DAI-LaborTechnische Universität BerlinBerlinGermany

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