Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis

Selecting a course of treatment in psychiatry remains a trial-and-error process, and this long-standing clinical challenge has prompted an increased focus on predictive models of treatment response using machine learning techniques. Electroencephalography (EEG) represents a cost-effective and scalab...

Descripción completa

Detalles Bibliográficos
Autores principales: Watts, Devon, Pulice, Rafaela Fernandes, Reilly, Jim, Brunoni, Andre R., Kapczinski, Flávio, Passos, Ives Cavalcante
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374666/
https://www.ncbi.nlm.nih.gov/pubmed/35961967
http://dx.doi.org/10.1038/s41398-022-02064-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374666/
https://www.ncbi.nlm.nih.gov/pubmed/35961967
http://dx.doi.org/10.1038/s41398-022-02064-z

Ejemplares similares