Reasoning and Data Representation in a health and

Reasoning and Data Representation in a health and lifestyle support system Sten HANKEa, Karl KREINERa, Johannes KROPFa, Mark SCASEb and Christian GOSSYa a AIT Austrian Institute of Technology GmbH, Vienna, Austria b De Montfort University, Leicester, UK 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 sciences is going to grow, as longer life expectancy forces a focus on health care. Keywords. Health support system, data reasoning, data representation, health and lifestyle data infrastructure