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...

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Vydané v:	Journal of affective disorders Ročník 346; s. 285 - 298
Hlavní autori:	Ravan, Maryam, Noroozi, Amin, Sanchez, Mary Margarette, Borden, Lee, Alam, Nafia, Flor-Henry, Pierre, Colic, Sinisa, Khodayari-Rostamabad, Ahmad, Minuzzi, Luciano, Hasey, Gary
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.02.2024
Predmet:	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
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