Artificial Neural Networks
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Artificial Neural Network Analysis on Suicide and Self-Harm History of Taiwanese Soldiers
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Classification of psychiatric disorders using artificial neural network
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
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In this study, a decision support system was designed to distinguish children with ADHD from other similar children behavioral disorders such as depression, anxiety, comorbid depression and anxiety and conduct disorder based on the signs and symptoms. Accuracy of classifying with Radial basis function and multilayer neural networks were compared. Finally, the average accuracy of the networks in classification reached to 95.50% and 96.62% by multilayer and radial basis function networks respectively. Our results indicate that a decision support system, especially RBF, may be a good preliminary assistant for psychiatrists in diagnosing high risk behavioral disorders of children.