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Book
Author Hasty, Melissa K

Title Evaluation of Bayesian belief networks for diagnosis of psychotic disorders / by Melissa K. Hasty
Published [Place of publication not identified] : [publisher not identified], 2005

Copies

Location Call no. Vol. Availability
 MELB  618.89075 Has/Eob  1  AVAILABLE
Description 2 volumes ; 30 cm
Contents V.1. Thesis - Evaluation of Bayesian belief networks for diagnosis of psychotic disorders -- v.2. Professional portfolio - Context and comorbidity : implications for cognitive-behavioural treatment of depression
Summary The thesis examined the inter-rater reliability and procedural validity of four computerised Bayesian belief networks (BBNs) which were developed to assist with the diagnosis of psychotic disorders. The results of this research indicated that BBNs can significantly improve diagnostic reliability and may represent an important advance over current diagnostic methods. The professional portfolio investigated, through the presentation of case studies and review of literature relevant to each case study, how comorbidity and context of depression may impact on cognitive behavioural therapy treatment
Notes Submitted to the School of Psychology of the Faculty of Health and Behavioural Sciences, Deakin University
Thesis (D.Psychology (Clinical)) -- Deakin University, Victoria, 2005
Degree conferred 2005
Bibliography Bibliography volumes1: leaves 273-303, volumes2: leaves 201-212
Notes All Doctorate of Psychology (D. Psychology) portfolios have been removed from the collection until further notice
Subject Mental illness -- Diagnosis -- Evaluation.
Bayesian statistical decision theory -- Applications
Comorbidity.
Depression, Mental -- Case studies.
Genre/Form Academic theses.
Author Deakin University. Faculty of Health and Behavioural Sciences
Deakin University. School of Psychology
Other Titles Context and comorbidity : implications for cognitive-behavioural treatment of depression