SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting

Neuroscience Letters

Volumn 461, Issue 3, 2009, Pages 293-297

  Chaves, R ^a   Ramirez J ^a   Gorriz J M ^a   Lopez M ^a   Salas Gonzalez, D ^a   Alvarez I ^a   Segovia, F ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Alzheimer's disease; Computer aided diagnosis; SPECT Brain Imaging Classification; Support Vector machine

Indexed keywords

CYSTEINE ETHYL ESTER TC 99M;

ALZHEIMER DISEASE; ARTICLE; BRAIN REGION; CLASSIFIER; COMPUTER ASSISTED DIAGNOSIS; CORRELATION ANALYSIS; DIAGNOSTIC ACCURACY; EARLY DIAGNOSIS; HUMAN; MAJOR CLINICAL STUDY; PARIETAL LOBE; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; STATISTICAL ANALYSIS; STUDENT T TEST; SUPPORT VECTOR MACHINE; TEMPORAL LOBE;

ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; BRAIN; CYSTEINE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; ORGANOTECHNETIUM COMPOUNDS; RADIOPHARMACEUTICALS; TOMOGRAPHY, EMISSION-COMPUTED, SINGLE-PHOTON;

EID: 67649982863     PISSN: 03043940     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neulet.2009.06.052     Document Type: Article

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