| Yazarlar (1) |
Doç. Dr. Ali Berkan URAL
Kafkas Üniversitesi, Türkiye |
| Özet |
| Studies about detection of psychiatric diseases area have gained higher importance among science, engineering and medical areas. There have been a lot of different and unique types of mental problems/diseases and some of them could be seen very common among people worldwide. There were some ways to analyze and interpretate the mental disorders such as from neuroimages, EEGs and other outputs of radiological types of imaging systems. This research aims analyzing and pre-diagnosis of Alzheimer's disease (AD) and Attention Deficit Hyperactivity Disorder (ADHD) from an open source and publicly available EEG dataset by performing specific ensemble deep learning models to create an automated medical image analysis Computer Aided Diagnosis (CAD) system in detail. In medical area, fundamentally, the current diagnostic methods were time-consuming, subjective and needed detailed … |
| Anahtar Kelimeler |
| EEG | pre-diagnosis | Alzheimer's disease (AD) | Attention Deficit Hyperactivity Disorder (ADHD) | ensemble deep learning models |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Traitement du Signal |
| Dergi ISSN | 0765-0019 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q4 |
| Makale Dili | Türkçe |
| Basım Tarihi | 06-2025 |
| Cilt No | 42 |
| Sayı | 3 |
| Sayfalar | 1653 / 1660 |
| Doi Numarası | 10.18280/ts.420335 |
| Makale Linki | https://doi.org/10.18280/ts.420335 |
| Atıf Sayıları |
