Evaluation of Bayesian belief networks for diagnosis of psychotic disorders

Hasty, Melissa K. 2005, Evaluation of Bayesian belief networks for diagnosis of psychotic disorders, D.Psychology (Clinical) thesis, School of Psychology, Deakin University.

Title Evaluation of Bayesian belief networks for diagnosis of psychotic disorders
Alternative title Context and comorbidity
Author Hasty, Melissa K.
Institution Deakin University
School School of Psychology
Faculty Faculty of Health and Behavioural Sciences
Degree name D.Psychology (Clinical)
Date submitted 2005
Keyword(s) Mental illness - Diagnosis - Evaluation
Bayesian statistical decision theory - Applications
Depression, Mental - Case studies
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 Degree conferred 2005.
Language eng
Description of original 2 v. ; 30 cm.
Dewey Decimal Classification 616.89075
Persistent URL http://hdl.handle.net/10536/DRO/DU:30026892

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