An ambient intelligent system for improving therapy adherence of chronic patients
Year: 2009
Type: conference-paper
Abstract: The amount of chronic diseases is increasing in Western societies due to the ageing of the population. The costs of constant personal supervising of chronic patients aimed at the improvement of therapy adherence are particularly high. Moreover, chronic disease therapy imposes a burden on everyday life of chronic patients and their psychological well-being as it requires strict regimen and self-control. In this context Ambient Intelligence techniques have an explicit potential in both reducing the medical costs in the health care sector and improving the well-being of chronic patients. Our approach is to adopt Ambient Persuasion technology to increase the therapy adherence of chronic patients. It will be realized by means of an adaptive agent-based system which uses cognitive models of patient's behaviour.
Source: VU Research Portal
Authors: Klein, Michel C A, Mogles, Nataliya M.
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: ZonMw
OpenAlex ID: W2745180167