You are not logged in.

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
Comorbidity
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

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 276 Abstract Views  -  Detailed Statistics
Created: Thu, 01 Apr 2010, 15:49:38 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.