Cargando…
Machine learning techniques in a structural and functional MRI diagnostic approach in schizophrenia: a systematic review
BACKGROUND: Diagnosis of schizophrenia (SCZ) is made exclusively clinically, since specific biomarkers that can predict the disease accurately remain unknown. Machine learning (ML) represents a promising approach that could support clinicians in the diagnosis of mental disorders. OBJECTIVES: A syste...
Autores principales: | de Filippis, Renato, Carbone, Elvira Anna, Gaetano, Raffaele, Bruni, Antonella, Pugliese, Valentina, Segura-Garcia, Cristina, De Fazio, Pasquale |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590624/ https://www.ncbi.nlm.nih.gov/pubmed/31354276 http://dx.doi.org/10.2147/NDT.S202418 |
Ejemplares similares
-
Aberrant salience correlates with psychotic dimensions in outpatients with schizophrenia spectrum disorders
por: Pugliese, Valentina, et al.
Publicado: (2022) -
Application of Support Vector Machine on fMRI Data as Biomarkers in Schizophrenia Diagnosis: A Systematic Review
por: Steardo, Luca, et al.
Publicado: (2020) -
Childhood adversities are different in Schizophrenic Spectrum Disorders, Bipolar Disorder and Major Depressive Disorder
por: Bruni, Antonella, et al.
Publicado: (2018) -
Clozapine Management in Schizophrenia Inpatients: A 5-Year Prospective Observational Study of Its Safety and Tolerability Profile
por: de Filippis, Renato, et al.
Publicado: (2021) -
Naturalistic and Uncontrolled Pilot Study on the Efficacy of Vortioxetine in Binge Eating Disorder With Comorbid Depression
por: Segura-Garcia, Cristina, et al.
Publicado: (2021)