The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data

• Published in: Clinical EEG and neuroscience Vol. 55; no. 2; p. 167
• Main Authors: Metin, Barış, Uyulan, Çağlar, Ergüzel, Türker Tekin, Farhad, Shams, Çifçi, Elvan, Türk, Ömer, Tarhan, Nevzat
• Format: Journal Article
• Language: English
• Published: United States 01.03.2024
• Subjects: Algorithms; Bipolar Disorder; Deep Learning; Electroencephalography - methods; Humans; Neural Networks, Computer; deep learning; BD; bipolar disorder; EEG; DL; advanced EEG-based bipolar disorder detection technique; neural network

Bipolar disorder (BD) is a mental disorder characterized by depressive and manic or hypomanic episodes. The complexity in the diagnosis of Bipolar disorder (BD) due to its overlapping symptoms with other mood disorders prompted researchers and clinicians to seek new and advanced techniques for the p...