Reasoning and Data Representation in a Health and Lifestyle Support System.

Journal: Studies in health technology and informatics
Published Date:

Abstract

Case-based reasoning and data interpretation is an artificial intelligence approach that capitalizes on past experience to solve current problems and this can be used as a method for practical intelligent systems. Case-based data reasoning is able to provide decision support for experts and clinicians in health systems as well as lifestyle systems. In this project we were focusing on developing a solution for healthy ageing considering daily activities, nutrition as well as cognitive activities. The data analysis of the reasoner followed state of the art guidelines from clinical practice. Guidelines provide a general framework to guide clinicians, and require consequent background knowledge to become operational, which is precisely the kind of information recorded in practice cases; cases complement guidelines very well and helps to interpret them. It is expected that the interest in case-based reasoning systems in the health.

Authors

  • Sten Hanke
    AIT Austrian Institute of Technology GmbH, Vienna, Austria.
  • Karl Kreiner
    AIT Austrian Institute of Technology, Austria.
  • Johannes Kropf
    AIT Austrian Institute of Technology GmbH, Vienna, Austria.
  • Marc Scase
    De Monfort University, Leicester, UK.
  • Christian Gossy
    AIT Austrian Institute of Technology GmbH, Vienna, Austria.