Now showing items 1-5 of 5
Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance
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 ...
ARTIFICIAL INTELLIGENCE APPROACH TO CLASSIFY UNIPOLAR and BIPOLAR DEPRESSIVE DISORDERS
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 ...
A Hybrid PSO-PID Approach For Trajectory Tracking Application of A Liquid Level Control Process
Water level control is a crucial step for steam generators (SG) which are widely used to control the temperature of nuclear power plants. The control process is therefore a challenging task to improve the performance ...
A Hybrid artificial intelligence method to classify trichotillomania and obsessive compulsive disorder
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 ...
A Wrapper-Based Approach For Feature Selection And Disorder Classification
Feature selection (FS) and classification are consecutive artificial intelligence (AI) methods used in data analysis, pattern classification, data mining and medical informatics. Beside promising studies in the application ...