Modeling of compulsive behavior types of obsessive-compulsive disorder patients by using the data mining method

Şaban KARAYAĞIZ | Burcu ORALHAN | Zeki ORALHAN

Data mining is a method that is used to find data that are precise, previously uncertain, and logical values from a comprehensive set of information. Data mining is used as a tool for determining the accuracy of classifications of data obtained in the field of bioinformatics by using different algorithm approaches. In this study, the data mining method was used to classify the accuracy of different algorithms and predict the types of compulsive behavior of patients with obsessive compulsive disorder. Data collected from a total of 164 people, 70 males and 94 females, were analyzed. The age ran ...Daha fazlası

Makale/Derleme 2022 Computational and Mathematical Methods in Medicine , pp. 1 - 9 4 Görüntülenme

3D Input convolutional neural network for SSVEP classification in design of brain computer interface for patient user

Zeki ORALHAN | Burcu ORALHAN

This research was aimed at presenting performance of 3-dimensional input convolutional neural networks for steady-state visual evoked potential classification in a wireless EEG-based brain-computer interface system. Overall performance of a brain-computer interface system depends on information transfer rate. Parameters such as signal classification accuracy rate, signal stimulator structure, and user task completion time affect information transfer rate. In this study, we used 3 types of signal classification methods that are 1-dimensional, 2-dimensional, and 3-dimensional input convolutional ...Daha fazlası

Makale/Derleme 2022 Computational and Mathematical Methods in Medicine , pp. 1 - 6 4 Görüntülenme

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Modeling of compulsive behavior types of obsessive-compulsive disorder patients by using the data mining method

Şaban KARAYAĞIZ | Burcu ORALHAN | Zeki ORALHAN

3D Input convolutional neural network for SSVEP classification in design of brain computer interface for patient user

Zeki ORALHAN | Burcu ORALHAN