A Joint KNN-RBF Based Algorithm to Diagnose the Bipolar Disorder

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Research areas:
Year:
2015
Type of Publication:
Article
Keywords:
Neural Network Models, KNN, RBF, Bipolar Disorder
Authors:
Mozhgan Mohammad Ghasemi; Mehdi Khalili
Journal:
IJAIM
Volume:
3
Number:
5
Pages:
239-242
Month:
March
ISSN:
2320-5121
Abstract:
With the rapid growth of usage of neural network models in diagnosis of different diseases, and also depression prevalence in modern societies, in this paper, a joint KNN-RBF based algorithm is proposed which diagnoses bipolar disorder with a high performance. The proposed algorithm is included two levels: error analysis of 47 related parameters and their structure optimization. The experimental result of implementation the proposed algorithm on 206 hospital record and 130 healthy people show that the proposed scheme reach to accurate 90%
Full text: IJAIM_405_Final.pdf

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