A classification algorithm for predicting progression from normal cognition to mild cognitive impairment across five cohorts: The preclinical AD consortium

Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring

Volumn 8, Issue , 2017, Pages 147-155

  Gross, Alden L ^a,b   Hassenstab, Jason J ^c   Johnson, Sterling C ^d,e   Clark, Lindsay R ^d,e   Resnick, Susan M ^f   Kitner Triolo, Melissa ^f   Masters, Colin L ^g   Maruff, Paul ^g   Morris, John C ^c   Soldan, Anja ^h   Pettigrew, Corinne ^h   Albert, Marilyn S ^h  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

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

^e WILLIAM S MIDDLETON MEMORIAL VETERANS HOSPITAL   (United States)

^f NATIONAL INSTITUTE ON AGING   (United States)

^g UNIVERSITY OF MELBOURNE   (Australia)

^h JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Cognitive testing; Diagnostic classification; Harmonization; Longitudinal follow up; Preclinical Alzheimer's disease

Indexed keywords

ADULT; AGED; ALZHEIMER DISEASE; ARTICLE; CLASSIFICATION ALGORITHM; COHORT ANALYSIS; CRITERION RELATED VALIDITY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE COURSE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MENTAL PERFORMANCE; MILD COGNITIVE IMPAIRMENT; PREDICTIVE VALIDITY; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SURVIVAL RATE; VALIDATION STUDY;

EID: 85020793277     PISSN: None     EISSN: 23528729     Source Type: Journal    
DOI: 10.1016/j.dadm.2017.05.003     Document Type: Article

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