Chatelain, M. (2005). Belief Nets for Mental Health. Masters thesis, Aston University.
Abstract
A Bayesian network is a powerful tool for inference; its structure and parameters can be learnt from data. The objectives of this thesis are first to find the structure associated with the suicide risk of a patient, to compare this structure with that of the expert and then to predict the risk itself. In order to do so, we first learn the structure using algorithms such as K2 or MWST. After having obtained this structure we try to predict the risk of suicide, with this found structure, on testing data. The results, which are quite good, will be discussed in this thesis, but the lack of data for training part has a significant effect.
| Publication DOI: | https://doi.org/10.48780/publications.aston.ac.uk.00021444 |
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| Divisions: | College of Engineering & Physical Sciences |
| Additional Information: | Copyright © M. Chatelain, 2005. M. Chatelain asserts their moral right to be identified as the author of this thesis. This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with its author and that no quotation from the thesis and no information derived from it may be published without appropriate permission or acknowledgement. If you have discovered material in Aston Publications Explorer which is unlawful e.g. breaches copyright, (either yours or that of a third party) or any other law, including but not limited to those relating to patent, trademark, confidentiality, data protection, obscenity, defamation, libel, then please read our Takedown Policy and contact the service immediately. |
| Institution: | Aston University |
| Uncontrolled Keywords: | mental health,belief,belief nets |
| Last Modified: | 11 Apr 2025 14:45 |
| Date Deposited: | 19 Mar 2014 11:30 |
| Completed Date: | 2005-09 |
| Authors: |
Chatelain, M.
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