Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/6500
Type: Journal article
Title: Artificial Neural Networks: A prospective tool for the analysis of psychiatric disorders.
Author: Galletly, C.
Clark, C.
McFarlane, A.
Citation: Journal of Psychiatry and Neuroscience, 1996; 21(4):239-247
Publisher: CANADIAN PSYCHIATRIC ASSOC
Issue Date: 1996
ISSN: 1180-4882
1488-2434
Abstract: Artificial neural networks are computer simulations of biological parallel distributed processing systems. They are able to undertake complex pattern recognition tasks, including diagnostic classification, prediction of disease onset and prognosis, and identification of determinants of clinical decisions. These capabilities have been utilized in general medicine, but as yet there has been little application of artificial neural networks in psychiatric research. Artificial neural networks can also be used to create models of brain function, providing a paradigm for cognition and the organization of neural systems that demonstrates how changes at the cellular level can affect information processing. These models are able to encompass both the biological and the behavioral dimensions of psychiatric disorders.
Keywords: artificial neural networks; psychiatric; diagnosis; classification; model
RMID: 0030005929
Appears in Collections:Psychiatry publications

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