Reasoning and Data Representation in a Health and Lifestyle Support System

Date

2017-04

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

European Federation for Medical Informatics (EFMI) and IOS Press

Type

Book chapter

Peer reviewed

Yes

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.

Description

Keywords

health support system, data reasoning, data representation, health and lifestyle data infrastructure

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.

Rights

Research Institute

Institute for Psychological Science