Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study.

Machine learning is a powerful tool that has previously been used to classify schizophrenia (SZ) patients from healthy controls (HC) using magnetic resonance images. Each study, however, uses different datasets, classification algorithms, and validation techniques. Here, we perform a critical apprai...

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Publicado en:	Schizophrenia Research Vol. 214; pp. 3 - 11
Autores principales:	Winterburn, Julie L., Voineskos, Aristotle N., Devenyi, Gabriel A., Plitman, Eric, de la Fuente-Sandoval, Camilo, Bhagwat, Nikhil, Graff-Guerrero, Ariel, Knight, Jo, Chakravarty, M. Mallar
Formato:	research Journal Article
Publicado:	Elsevier B.V. Dec2019
Acceso en línea:	Ver este registro en EBSCOhost