An Ambient Intelligent Agent for Relapse and Recurrence Monitoring in Unipolar Depression

Authors:
Azizi Ab Aziz;Michel C. Klein;Jan Treur
Affiliations:
Agent Systems Research Group, Department of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 1081 HV;Agent Systems Research Group, Department of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 1081 HV;Agent Systems Research Group, Department of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 1081 HV
Venue:
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Year:
2009

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Abstract

Mental healthcare is a prospective area for applying AI techniques. For example, a computerized system could support individuals with a history of depression in maintaining their well-being throughout their lifetime. In this paper, the design of an ambient intelligent agent to support these individuals is presented. It incorporates an analysis and support model for diagnostics based on observed features and for suggested actions. The model used is based on dynamic relations that describe the occurrence of relapse in unipolar depression. By incorporating this model into an ambient agent system, the agent is able to reason about the state of the human and the effect of possible actions. Several simulation experiments have been conducted to illustrate the functioning of the proposed model in different scenarios.