Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteers

Mood disorders and schizophrenia affect millions worldwide. Currently, diagnosis is primarily determined by reported symptomatology. As symptoms may overlap, misdiagnosis is common, potentially leading to ineffective or destabilizing treatment. Diagnostic biomarkers could significantly improve clini...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of affective disorders Jg. 346; S. 285 - 298
Hauptverfasser:	Ravan, Maryam, Noroozi, Amin, Sanchez, Mary Margarette, Borden, Lee, Alam, Nafia, Flor-Henry, Pierre, Colic, Sinisa, Khodayari-Rostamabad, Ahmad, Minuzzi, Luciano, Hasey, Gary
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.02.2024
Schlagworte:	Bipolar Disorder - diagnosis Deep Learning Depressive Disorder, Major - diagnosis Depressive Disorder, Major - psychology Electroencephalography Healthy Volunteers Humans Psychiatric/Mental Health Schizophrenia - diagnosis
ISSN:	0165-0327, 1573-2517, 1573-2517
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!