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)
Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsNeurological 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
References
96
Percentile
100%
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Citations per year
Cited by
Support vector machine
Machine Learning · 2019 · 936 citations
References
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