Bayesian modeling of pretransplant variables accurately predicts kidney graft survival

American Journal of Nephrology

Volumn 36, Issue 6, 2012, Pages 561-569

  Brown, Trevor S ^a   Elster, Eric A ^a,c,d   Stevens, Kristin ^a,b   Graybill, J Christopher ^a,c   Gillern, Suzanne ^a,c   Phinney, Samuel ^a,c   Salifu, Moro O ^e   Jindal, Rahul M ^c,d,f  

^a NAVAL MEDICAL RESEARCH CENTER   (United States)

^b NAVAL MEDICAL CENTER SAN DIEGO   (United States)

^c WALTER REED ARMY MEDICAL CENTER   (United States)

^d Uniformed Services University of the Health Sciences   (United States)

^e SUNY DOWNSTATE MEDICAL CENTER   (United States)

^f GEORGE WASHINGTON UNIVERSITY SCHOOL OF MEDICINE AND HEALTH SCIENCES   (United States)

Author keywords

Bayesian Belief Network; Graft failure; Kidney transplant; Multivariate analysis; Renal allograft; United States Renal Data System

Indexed keywords

ADULT; AREA UNDER THE CURVE; ARTICLE; BAYES THEOREM; BODY MASS; CONSTRUCT VALIDITY; EXTERNAL VALIDITY; FEMALE; GRAFT FAILURE; GRAFT SURVIVAL; HUMAN; INTERNAL VALIDITY; KIDNEY GRAFT; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; OUTCOME ASSESSMENT; PREDICTIVE VALUE; PRIORITY JOURNAL; RACE; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; ADULT; AGE FACTORS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BODY MASS INDEX; CONTINENTAL POPULATION GROUPS; FEMALE; FORECASTING; GRAFT SURVIVAL; HUMANS; KIDNEY FAILURE, CHRONIC; KIDNEY TRANSPLANTATION; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; PREDICTIVE VALUE OF TESTS; PREOPERATIVE PERIOD; SEX FACTORS; UNITED STATES; YOUNG ADULT;

EID: 84870353215     PISSN: 02508095     EISSN: 14219670     Source Type: Journal    
DOI: 10.1159/000345552     Document Type: Article

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