The week's pick
Random Articles
Reseach Article
Predicting the Class of a Mentally Disabled Patient to Check the Level of Mental Retardation by using Feed Forward Back Propagation Neural Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 41 - Number 17 |
| Year of Publication: 2012 |
| Authors: P. C. Gupta, Anjali Mathur |
10.5120/5636-8022
|
P. C. Gupta, Anjali Mathur . Predicting the Class of a Mentally Disabled Patient to Check the Level of Mental Retardation by using Feed Forward Back Propagation Neural Network. International Journal of Computer Applications. 41, 17 ( March 2012), 44-50. DOI=10.5120/5636-8022
Abstract
Mental disorders have a large impact on individuals, families, and communities, and are one of the main causes worldwide of disability and distress. Correct diagnosis of mental disorders is essential in clinical practice, pharmacological research, and successful treatment. Patients with mental retardation often have multiple and sometimes complicated medical problems. In this paper we have proposed a feed forward back propagation neural network to classify the level of mental retardation by using Matlab software. There are six neurons in the input layer which represent the attribute of a patient. Output layer contains four neurons which represent four different levels of mental retardation in which each patient will be classified
References
- Backpropagation: http://en. wikipedia. org/wiki/Backpropagation
- Diagnostic and Statistical Manual of Mental Disorders (4th edn, text revision) (DSM-IV-TR): http://bjp. rcpsych. org/content/179/1/85. 1.
- Millan, J. delR. , Mourino, J. , Cincotti, F. , Varsta, M. , Heikkonen, J. , Topani, F. , Marciani, M. G. , Kaski, K. , Babiloni, F. , Joint Res, 2000,"Neural network for robust classification of mental tasks", Engineering in Medicine and Biology Society.
- Vijay Khare , Jayashree Santhosh , Sneh Anand , Manvir Bhatia, 2009,"Classification of five mental tasks from EEG Data using Neural Network based on principal component analysis", The IUP Journal of Science & Technology, Vol. 5.
- Charles Anderson, Elliott Forney, Douglas Hains and Annamalai Natarajan, 2011, "Reliable identification of mental tasks using time-embedded EEG and sequential evidence accumulation", Journal of Neural Engineering.
- José del R. Millán, Josep Mouriño, Marco Franzé, Febo Cincotti, Markus Varsta, Jukka Heikkonen, and Fabio Babiloni, "A Local Neural Classifier for the Recognition of EEG Patterns Associated to Mental Tasks".
- Dehariya, A. ; Chaudhary, V. K. ; Khan, I. ; Karsoliya, S. , 2011, "An effective approach for medical diagnosis preceded by artificial neural network ensemble", Electronics Computer Technology (ICECT).
- ] Djordjevic, V. ; Reljin, N. ; Gerla, V. ; Lhotska, L. ; Krajca, V. , 2009,"Feature extraction and classification of EEG sleep recordings in newborns", Information Technology and Applications in Biomedicine.
- MR Narasingarao, R Manda, GR Sridhar, K Madhu, AA Rao, "A Clinical Decision Support System Using Multilayer Perceptron Neural Network to Assess Well Being in Diabetes".
- Sarah M. Hosni, Mahmoud E. Gadallah, Sayed F. Bahgat, Mohamed S. AbdelWahab, 2006, "Classification of EEG Signals Using DifferentFeature Extraction Techniques for Mental-Task BCI".
- Abdulhamit Subasia, M. Kemal Kiymika, Ahmet Alkana, Etem Koklukayab, 2005, "Neural Network classification of EEG signals by using AR with MLE preprocessing for Epileptic Seizure Detection", Mathematical and Computational Applications, Vol. 10.
- Abdulhamit Subasi, Ergun Erc¸elebi, 2004, "Classification of EEG signals using neural network and logistic regression", Computer Methods and Programs in Biomedicine .
- Vitaly Schetinin TheorieLabor, Friedrich-Schiller,2001, "Polynomial Neural Networks Learnt to Classify EEG Signals".
- leslie Cromwell, Fred J. weibell, Erich A. Pfeirffer, 2007, "Biomedical Instrumentation and Measurements", Pearson Prentice Hall.
- S. N. Sivanandam, Sumathi & Deepa, 2006, "Introduction to neural networks using MATLAB 6. 0",Tata McGraw-Hill Education.
- Prakash Chandra Gupta & Manu Pratap Singh, 2009, "Analysis of Performance Evaluation for the Classification of Protein through Solubility with Evolutionary Hybrid Algorithm in Feedforward Neural Network" International Journal of Bioinformatics.
- Simon Haykin, 2005, "Neural Networks", Second edition by, Prentice Hall of India.
- Harry B. Burke, 1997, "Evaluating Artificial Neural Networks for Medical Applications", New York Medical College, Deptt. Of Medicine, Valhalla, IEEE.
- The MathWorks Inc. PRO-MATLAB for Sun Workstations,1990, User's Guide,The MathWorks Inc.
- R. C. Eberhart and R. W. Dobbins, 1990, Neuml Network PC Tools, A Practical Guide. Academic Press, San Diego, California.
Index Terms
Keywords