@inproceedings{1fe5ee46758740b08e72c7199c3699e4,
title = "Developing a probabilistic graphical structure from a model of mental-health clinical risk expertise",
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.",
author = "Olufunmilayo Obembe and Buckingham, {Christopher D.}",
year = "2010",
doi = "10.1007/978-3-642-15384-6_10",
language = "English",
isbn = "978-3-642-15383-9",
volume = "Part IV",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "88--97",
editor = "Rossitza Setchi and Ivan Jordanov and Howlett, {Robert J.} and Jain, {Lakhimi C.}",
booktitle = "Knowledge-based and intelligent information and engineering systems",
address = "Germany",
note = "14th International Conference, KES 2010 ; Conference date: 08-09-2010 Through 10-09-2010",
}