Graphical Modelling in Mental Health Risk Assessments

Date

2010-11

Advisors

Journal Title

Journal ISSN

ISSN

DOI

Volume Title

Publisher

IARIA

Type

Conference

Peer reviewed

Yes

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.

Description

Keywords

Mental health risk assessment, Probablity graphs, Chain graphs

Citation

Obembe O. and Buckingham C.D. (2010) Graphical Modelling in Mental Health Risk Assessment. The Second International Conference on Advanced Cognitive Technologies and Applications (COGNITIVE 2010), November 21 – 26, Lisbon, Portugal. Conference proceedings published by XPS (Xpert Publishing Services)

Rights

Research Institute