Inclusion of Neuropsychological Scores in Atrophy Models Improves Diagnostic Classification of Alzheimer's Disease and Mild Cognitive Impairment

Computational Intelligence and Neuroscience

Volumn 2015, Issue , 2015, Pages

  Goryawala, Mohammed ^a   Zhou, Qi ^a   Barker, Warren ^b   Loewenstein, David A ^b,c   Duara, Ranjan ^b,c,d   Adjouadi, Malek ^a  

^a Florida International University   (United States)

^b MOUNT SINAI MEDICAL CENTER   (United States)

^c UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

^d FLORIDA INTERNATIONAL UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; DISCRIMINANT ANALYSIS;

ASYMMETRICAL DISTRIBUTIONS; GROUP CLASSIFICATION; LINEAR DISCRIMINANT ANALYSIS; MILD COGNITIVE IMPAIRMENTS; MILD COGNITIVE IMPAIRMENTS (MCI); SELECTION TECHNIQUES; STATISTICAL FRAMEWORK; STEPWISE LINEAR REGRESSION;

NEURODEGENERATIVE DISEASES;

AGED; ALZHEIMER DISEASE; ATROPHY; BRAIN; CLASSIFICATION; COGNITIVE DYSFUNCTION; DISCRIMINANT ANALYSIS; FEMALE; HUMAN; IMAGE PROCESSING; MALE; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; STATISTICAL MODEL; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; ATROPHY; BRAIN; COGNITIVE DYSFUNCTION; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MALE; NEUROPSYCHOLOGICAL TESTS;

EID: 84935894515     PISSN: 16875265     EISSN: 16875273     Source Type: Journal    
DOI: 10.1155/2015/865265     Document Type: Article

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