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https://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 |
Appears in Collections: | Aurora harvest 5 Psychiatry publications |
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