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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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ARTIFICIAL INTELLIGENCE APPROACH TO CLASSIFY UNIPOLAR and BIPOLAR DEPRESSIVE DISORDERS 

Erguzel, Turker Tekin; Tarhan, Nevzat; Hizli Sayar, Gokben (2015)
Machine learning (ML) approaches for medical decision making processes are valuable when both high classification accuracy and less feature requirements are satisfied. Artificial neural networks ...
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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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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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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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Discriminating schizophrenia and schizo-obsessive disorder: a structural MRI study combining VBM and machine learning methods 

Tas, Cumhur; Mogulkoc, Hazal; Eryilmaz, Gül; Gogcegoz, Isil; Erguzel, Turker Tekin; Metin, Baris; Tarhan, Nevzat (2016-07-12)
Schizo-obsessive disorder is characterized by the clinical syndrome in which comorbid obsessive–compulsive disorder accompanies schizophrenia. A substantial number of studies have investigated the neuropsychological and ...

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AuthorErguzel, Turker Tekin (6)
Tarhan, Nevzat (6)
Hizli Sayar, Gokben (4)Ozekes, Serhat (4)Gultekin, Selahattin (2)Bayram, Ali (1)Eryilmaz, Gül (1)Gogcegoz, Isil (1)Metin, Baris (1)Mogulkoc, Hazal (1)... View MoreSubjectAnt colony optimization (1)Artificial Intelligence (1)artificial neural network (1)Electroencephalography (1)http://dx.doi.org/10.4306/pi.2014.11.3.243 (1)Major depressive disorder (1)Neural network (1)Obsessive-compulsive disorder (1)particle swarm optimization (1)QEEG (1)... View MoreDate Issued2016 (1)2015 (3)2014 (2)

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