Developing a Probabilistic Graphical Structure from a Model of Mental-Health Clinical Risk Expertise

Date

2010-09

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

Springer

Type

Conference

Peer reviewed

Yes

Abstract

This paper explores the process of developing a principled approach for translating a model of mental-health risk expertise into a probabilistic graphical structure. The Galatean Risk Screening Tool [1] is a psychological model for mental health risk assessment based on fuzzy sets. This paper details how the knowledge encapsulated in the psychological model was used to develop the structure of the probability graph by exploiting the semantics of the clinical expertise. These semantics are formalised by a detailed specification for an XML structure used to represent the expertise. The component parts were then mapped to equivalent probabilistic graphical structures such as Bayesian Belief Nets and Markov Random Fields to produce a composite chain graph that provides a probabilistic classification of risk expertise to complement the expert clinical judgements.

Description

Keywords

Clinical Decision Support System, Membership Grade, Child Node, Parent Node, Data Node

Citation

Obembe, O. and Buckingham C.D. (2010) Developing a Probabilistic Graphical Structure from a Model of Mental-Health Clinical Risk Expertise. In: Setchi R., Jordanov I., Howlett R.J., Jain L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science, vol 6279. Springer, Berlin, Heidelberg

Rights

Research Institute

Centre for Computing and Social Responsibility (CCSR)