Application of Support Vector Machine on fMRI Data as Biomarkers in Schizophrenia Diagnosis: A Systematic Review

Application of Support Vector Machine on fMRI Data as Biomarkers in Schizophrenia Diagnosis: A Systematic Review

Non-invasive measurements of brain function and structure as neuroimaging in patients with mental illnesses are useful and powerful tools for studying discriminatory biomarkers. To date, functional MRI (fMRI), structural MRI (sMRI) represent the most used techniques to provide multiple perspectives...

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Bibliographic Details
Main Authors: Luca Steardo, Elvira Anna Carbone, Renato de Filippis, Claudia Pisanu, Cristina Segura-Garcia, Alessio Squassina, Pasquale De Fazio
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Psychiatry
Subjects:
machine learning
schizophrenia
support vector machine (SVM)
resting-state fMRI
biomarkers
Online Access:https://www.frontiersin.org/article/10.3389/fpsyt.2020.00588/full

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https://www.frontiersin.org/article/10.3389/fpsyt.2020.00588/full

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