Machine learning amplifies the effect of parental family history of Alzheimer's disease on list learning strategy

Journal of the International Neuropsychological Society

Volumn 18, Issue 3, 2012, Pages 428-439

  Chang, Timothy S ^a   Coen, Michael H ^a,b   La Rue, Asenath ^a   Jonaitis, Erin ^a   Koscik, Rebecca L ^a   Hermann, Bruce ^a   Sager, Mark A ^a  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^b University of Wisconsin Madison   (United States)

Author keywords

Cohort study; Medical informatics; Memory; Neuropsychological tests; Pre symptomatic disease; Statistical models

Indexed keywords

APOLIPOPROTEIN E4;

ADULT; ALZHEIMER DISEASE; ANALYSIS OF VARIANCE; ARTICLE; ARTIFICIAL INTELLIGENCE; AUDITORY STIMULATION; COGNITIVE DEFECT; EXECUTIVE FUNCTION; FAMILY HEALTH; FEMALE; GENETICS; HUMAN; LEARNING; MALE; MIDDLE AGED; NEUROPSYCHOLOGICAL TEST; PHYSIOLOGY; RISK FACTOR; STATISTICS;

ACOUSTIC STIMULATION; ADULT; ALZHEIMER DISEASE; ANALYSIS OF VARIANCE; APOLIPOPROTEIN E4; ARTIFICIAL INTELLIGENCE; COGNITION DISORDERS; EXECUTIVE FUNCTION; FAMILY HEALTH; FEMALE; HUMANS; MALE; MIDDLE AGED; NEUROPSYCHOLOGICAL TESTS; RISK FACTORS; STATISTICS AS TOPIC; VERBAL LEARNING;

EID: 84861054381     PISSN: 13556177     EISSN: 14697661     Source Type: Journal    
DOI: 10.1017/S1355617711001834     Document Type: Article

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