Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease

Journal of Neuroimaging

Volumn 25, Issue 4, 2015, Pages 552-563

  Retico, Alessandra ^a   Bosco, Paolo ^b,c   Cerello, Piergiorgio ^d   Fiorina, Elisa ^d,e   Chincarini, Andrea ^c   Fantacci, Maria Evelina ^a,f  

^a INFN SEZIONE DI PISA   (Italy)

^b UNIVERSITY OF GENOA   (Italy)

^c INFN SEZIONE DI GENOVA   (Italy)

^d SEZIONE DI TORINO   (Italy)

^e UNIVERSITY OF TURIN   (Italy)

^f UNIVERSITY OF PISA   (Italy)

Author keywords

Alzheimer's disease; Classification; Mild cognitive impairment; MRI; Support vector machines

Indexed keywords

ALZHEIMER DISEASE; ARTICLE; DIAGNOSTIC ACCURACY; GRAY MATTER; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; RECEIVER OPERATING CHARACTERISTIC; REDUCTION; SUPPORT VECTOR MACHINE; AGED; BIOLOGICAL MODEL; BRAIN; COMPUTER SIMULATION; CONNECTOME; FEMALE; MALE; NERVE CELL NETWORK; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

AGED; ALZHEIMER DISEASE; BRAIN; COMPUTER SIMULATION; CONNECTOME; FEMALE; HUMANS; MALE; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE NET; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

EID: 84937073920     PISSN: 10512284     EISSN: 15526569     Source Type: Journal    
DOI: 10.1111/jon.12163     Document Type: Article

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