Reasoning and Data Representation in a Health and Lifestyle Support System
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.
Citation : Hanke, S., Kreiner, K., Kropf, J., Scase, M., and Gossy, C. (2017) Reasoning and Data Representation in a Health and Lifestyle Support System. In: Informatics for Health: Connected Citizen-Led Wellness and Population Health (edited by R. Randell, R. Cornett, C. McGowen, N. Peek and P.J. Scott). Studies in Health Technology and Informatics, 235, pp. 8-12.
ISBN : 9781614997535
Research Institute : Institute for Psychological Science
Peer Reviewed : Yes