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Volumn 55, Issue 1, 2014, Pages 202-218

Latent information in fluency lists predicts functional decline in persons at risk for Alzheimer disease

Author keywords

Alzheimer's disease; Cognitive neuropsychology; Dementia; Machine learning; MCI (mild cognitive impairment); Random forests

Indexed keywords

ACCURACY; AGED; ALZHEIMER DISEASE; ARTICLE; CLINICAL DEMENTIA RATING SUM OF BOXES; COGNITION; CONTROLLED STUDY; CONVERGENT VALIDITY; FEMALE; FINANCIAL CAPACITY INSTRUMENT; FOLLOW UP; FUNCTIONAL STATUS; HUMAN; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; NAMED INVENTORIES, QUESTIONNAIRES AND RATING SCALES; NEUROPSYCHOLOGICAL TEST; OUTCOME ASSESSMENT; OUTCOME VARIABLE; PREDICTION; PREDICTIVE VALUE; PSYCHOLOGIC TEST; RANDOM FOREST; RISK FACTOR; SEMANTICS; SPEECH; AREA UNDER THE CURVE; ARTIFICIAL INTELLIGENCE; CASE CONTROL STUDY; COMPLICATION; MIDDLE AGED; PATHOPHYSIOLOGY; PHYSIOLOGY; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; RISK; SPEECH DISORDERS;

EID: 84901433593     PISSN: 00109452     EISSN: 19738102     Source Type: Journal    
DOI: 10.1016/j.cortex.2013.12.013     Document Type: Article
Times cited : (37)

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