Developing a probabilistic graphical structure from a model of mental-health clinical risk expertise

Olufunmilayo Obembe, Christopher D. Buckingham

Research output: Chapter in Book/Published conference outputConference publication


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.
Original languageEnglish
Title of host publicationKnowledge-based and intelligent information and engineering systems
Subtitle of host publication14th International Conference, KES 2010, Cardiff, UK, September 8-10, 2010, Proceedings
EditorsRossitza Setchi, Ivan Jordanov, Robert J. Howlett, Lakhimi C. Jain
Place of PublicationBerlin (DE)
Number of pages10
VolumePart IV
ISBN (Electronic)978-3-642-15384-6
ISBN (Print)978-3-642-15383-9
Publication statusPublished - 2010
Event14th International Conference, KES 2010 - Cardiff, United Kingdom
Duration: 8 Sept 201010 Sept 2010

Publication series

NameLecture notes in computer science
ISSN (Print)0302-9743


Conference14th International Conference, KES 2010
Country/TerritoryUnited Kingdom


Dive into the research topics of 'Developing a probabilistic graphical structure from a model of mental-health clinical risk expertise'. Together they form a unique fingerprint.

Cite this