Identifying clinical features associated with electroconvulsive therapy response in adolescents with major depressive disorder using machine learning
Bingyang Zha, Linjie Li, Jinglan He, Jun Cao et autres
Background: Electroconvulsive therapy (ECT) is an effective treatment for adolescent major depressive disorder (MDD), but its efficacy varies. This study utilized machine learning (ML) to identify baseline clinical factors associated with poor ECT response. Methods: We retrospectively enrolled 503 adolescent MDD patients. …
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Frontiers in Psychiatry