reviewTop 1% cited

Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review

Neuroscience & Biobehavioral Reviews · 2012 · Vol. 36(4) · pp. 1140–1152

Graziella Orrù(King's College London)William Pettersson‐Yeo(King's College London)André F. Marquand(Wellcome Centre for Human Neuroimaging)Giuseppe Sartori(University of Padua)Andrea Mechelli✉(King's College London)

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Functional Brain Connectivity Studies Advanced Neuroimaging Techniques and Applications Neurological disorders and treatmentsSupport vector machineNeuroimagingContext (archaeology)UnivariateDiseaseSchizophrenia (object-oriented programming)PsychologyDepression (economics)PsychiatryMachine learning

MeSH terms

Alzheimer DiseaseArtificial IntelligenceAutistic DisorderMental DisordersBipolar DisorderClassificationDepressive Disorder, MajorMajor Depressive DisorderHumansNervous System DiseasesSchizophreniaBiomarkersSupport Vector Machine

Citations

1,006

FWCI

31.01

field-weighted impact

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100%

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Support vector machine