Home // COGNITIVE 2010, The Second International Conference on Advanced Cognitive Technologies and Applications // View article

Graphical Modelling in Mental Health Risk Assessments

Authors:
Olufunmilayo Obembe
Christopher D. Buckingham

Keywords: mental health risk assessment; probability graphs; chain graphs

Abstract:
Probabilistic models can be a combination of graph and probability theory that provide numerous advantages when it comes to the representation of domains involving uncertainty. In this paper, we present the development of a chain graph for assessing the risks associated with mental health problems, which is a domain that has high amounts of inherent uncertainty. The Galatean mental health Risk and Social care Tool, GRiST, has been developed to support mental-health risk assessments by using a psychological model to represent the expertise of mental-health practitioners. It is a hierarchical knowledge structure based on fuzzy sets for reasoning with uncertainty. This paper describes how a chain graph can be developed from the psychological model to provide a probabilistic evaluation of risk that complements the one generated by GRiST’s clinical expertise.

Pages: 72 to 77

Copyright: Copyright (c) IARIA, 2010

Publication date: November 21, 2010

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-108-3

Location: Lisbon, Portugal

Dates: from November 21, 2010 to November 26, 2010