Using of SVM for diagnosis of major depressive disorder

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    artificial neural networks are used extensively in diagnosis are used and the system is able to detect a variety of conditions used in this study for diagnosis of major depressive disorder, 45 parameters were considered Implementation and operation using SVM model the use of different network error checked Education.


  • Keywords


    Major Depressive; Neural Network; SVM.

  • References


      [1] Allawi J, Mousavi Sh, etc,"Neural Networks and Its Application in Medicine", Journal of Govaresh, course 2, no.1, pp.49, 2007.

      [2] Huerta-Ramirez R, Bertsch J, Cabello M, Roca M, Haro JM, Ayuso-Mateos JL. Diagnosis delay in first episodes of major depression: a study of primary care patients in Spain. J Affect Disord, vol.150, pp. 1247–1250, 2013. http://dx.doi.org/10.1016/j.jad.2013.06.009.

      [3] Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, Murray CJ et al. Burden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010, PLoS Med 2013. http://dx.doi.org/10.1371/journal.pmed.1001547.

      [4] Pence BW, O'Donnell JK, Gaynes BN. The depression treatment cascade in primary care: a public health perspective. Curr Psychiatry Rep, vol. 14, pp. 328–335, 2012. http://dx.doi.org/10.1007/s11920-012-0274-y.

      [5] R. Cuingnet, C. Rosso, M. Chupin, S. Lehéricy, D. Dormont, H. Benali, Y. Samson and O. Colliot, Spatial regularization of SVM for the detection of diffusion alterations associated with stroke outcome, Medical Image Analysis, vol.15, pp. 729-737, 2011. http://dx.doi.org/10.1016/j.media.2011.05.007.

      [6] Yuichi. Katori, Yasuhiko. Igarashi, Masato .Okada, Kazuyuki .Aihara," Stability Analysis of Stochastic Neural Network with Depression and Facilitation Synapses", no.168, pp.83-88, 2012.

      [7] Chattopadhyay. S, Kaur. P, Rabhi. F, Acharya. U.R," Neural network approaches to grade adult depression Chattopadhyay", vol.36, pp. 2803-15, 2012.

      [8] Kaur. P, Rabhi. F,Rajendra. Acharya,"An Automated System to Diagnose the Severity of Adult Depression", Second International Conference on Emerging Applications of Information Technology (EAIT), pp. 121 – 124, 2011.

      [9] Hosseinifard, Behshad, Moradi, M.H., Rostami, Reza," Classifying depression patients and normal subjects using machine learning techniques", Electrical Engineering (ICEE), 19th Iranian Conference on, pp. 1 – 4, 2011.

      [10] Mugica, F. Nebot, A., Bagherpour, S., Serrano-Blanco, A.," MADRIM: A major depression remote intelligent monitor ", Fuzzy Systems (FUZZ-IEEE), IEEE International Conference on, pp. 1 – 8, 2012.


 

View

Download

Article ID: 3994
 
DOI: 10.14419/jacst.v4i1.3994




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.