Machine-learning techniques for building a diagnostic model for very mild dementia

NeuroImage

Volumn 52, Issue 1, 2010, Pages 234-244

  Chen, Rong ^a   Herskovits, Edward H ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ALGORITHM; ARTICLE; CLASSIFICATION; CLINICAL ARTICLE; COMPUTER MODEL; CONTROLLED STUDY; DATA BASE; DEMENTIA; DISCRIMINANT ANALYSIS; FEMALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MACHINE LEARNING; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; VERY MILD DEMENTIA; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; BOOK; BRAIN; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; IMAGE PROCESSING; PATHOLOGY; PROCEDURES; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; TEMPORAL LOBE;

AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; ATLASES AS TOPIC; BRAIN; DATABASES AS TOPIC; DEMENTIA; DIAGNOSIS, COMPUTER-ASSISTED; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LOGISTIC MODELS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; SENSITIVITY AND SPECIFICITY; TEMPORAL LOBE;

EID: 77953290751     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.03.084     Document Type: Article

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