A new algorithm for predicting time to disease endpoints in Alzheimer's disease patients

Journal of Alzheimer's Disease

Volumn 38, Issue 3, 2014, Pages 661-668

  Razlighi, Qolamreza R ^a   Stallard, Eric ^b   Brandt, Jason ^c,d   Blacker, Deborah ^e   Albert, Marilyn ^c   Scarmeas, Nikolaos ^a   Kinosian, Bruce ^f   Yashin, Anatoliy I ^b   Stern, Yaakov ^a  

^a Columbia University College of Physicians and Surgeons ^*  (United States)

^b DUKE UNIVERSITY   (United States)

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

^d The Copper Ridge Institute   (United States)

^e MASSACHUSETTS GENERAL HOSPITAL   (United States)

^f VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

Alzheimer's disease; full time care; grade of membership model; nursing home; prediction algorithm; time to death

Indexed keywords

ACCURACY; AGED; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; COHORT ANALYSIS; DISEASE COURSE; DISEASE ENDPOINT; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; OUTCOME ASSESSMENT; PREDICTION; PRIORITY JOURNAL; SURVIVAL; TIME;

ALZHEIMER'S DISEASE; FULL-TIME CARE; GRADE OF MEMBERSHIP MODEL; NURSING HOME; PREDICTION ALGORITHM; TIME TO DEATH;

AGED; AGED, 80 AND OVER; ALGORITHMS; ALZHEIMER DISEASE; COHORT STUDIES; FEMALE; HUMANS; KAPLAN-MEIER ESTIMATE; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SEX FACTORS; TIME FACTORS;

EID: 84889672724     PISSN: 13872877     EISSN: 18758908     Source Type: Journal    
DOI: 10.3233/JAD-131142     Document Type: Article

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