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Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance 

Erguzel, Turker Tekin; Gultekin, Selahattin; Tarhan, Nevzat; Bayram, Ali; Ozekes, Serhat; Hizli Sayar, Gokben (2015-01-12)
ObjectiveaaThe combination of repetitive transcranial magnetic stimulation (rTMS), a non-pharmacological form of therapy for treating major depressive disorder (MDD), and electroencephalogram (EEG) is a valuable tool for ...
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Ant Colony Optimization Based Feature Selection Method for QEEG Data Classification 

Erguzel, Turker Tekin; Ozekes, Serhat; Gultekin, Selahattin; Tarhan, Nevzat (Psychiatry Investigation, 2014)
Objective:Many applications such as biomedical signals require selecting a subset of the input features in order to represent the whole set of features. A feature selection algorithm has recently been proposed as a new ...
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Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach 

Erguzel, Turker Tekin; Ozekes, Serhat; Tan, Oguz; Gultekin, Selahattin (Clinical EEG and Neuroscience, 2014)
Feature selection is an important step in many pattern recognition systems aiming to overcome the so-called curse of dimensionality. In this study, an optimized classification method was tested in 147 patients with major ...
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Analysis of Brain Functional Changes in High-Frequency Repetitive Transcranial Magnetic Stimulation in Treatment-Resistant Depression 

Ozekes, Serhat; Erguzel, Turker Tekin; Hizli Sayar, Gokben; Tarhan, Nevzat (Clinical EEG & Neuroscience, 2014)
Repetitive transcranial magnetic stimulation (rTMS) is a treatment procedure that uses magnetic fields to stimulate nerve cells in the brain, and is associated with significant improvements in clinical symptoms of major ...
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Predicting Dropout Student: An Application of Data Mining Methods in an Online Education Program 

Yukselturk, Erman; Ozekes, Serhat; Turel, Yalin Kilic (2014)
This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies ...
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A Hybrid artificial intelligence method to classify trichotillomania and obsessive compulsive disorder 

Erguzel, Turker Tekin; Tan, Oguz; Tarhan, Nevzat; Ozekes, Serhat; Hizli Sayar, Gokben (2015-02)
Classification of psychiatric disorders is becoming one of the major focuses of research using artificial intelligence approach. The combination of feature selection and classification methods generates satisfactory ...

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Ozekes, Serhat (6)
Erguzel, Turker Tekin (5)Tarhan, Nevzat (4)Gultekin, Selahattin (3)Hizli Sayar, Gokben (3)Tan, Oguz (2)Bayram, Ali (1)Turel, Yalin Kilic (1)Yukselturk, Erman (1)SubjectAnt colony optimization (1)Educational data mining, student dropout prediction, k-nearest neighbour, decision tree, Naive Bayes, neural network (1)Electroencephalography (1)genetic algorithm, artificial neural network, cordance, major depressive disorder, rTMS (1)http://dx.doi.org/10.4306/pi.2014.11.3.243 (1)Major depressive disorder (1)Neural network (1)Obsessive-compulsive disorder (1)QEEG (1)repetitive transcranial magnetic stimulation, QEEG cordance, repeated-measures analysis of variance, major depressive disorder, analysis of brain functional changes (1)... View MoreDate Issued2015 (2)2014 (4)

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