Predicting the outcome of renal transplantation

Journal of the American Medical Informatics Association

Volumn 19, Issue 2, 2012, Pages 255-262

  Lasserre, Julia ^a   Arnold, Steffen ^a,b   Vingron, Martin ^a   Reinke, Petra ^b   Hinrichs, Carl ^b  

^a MAX PLANCK INSTITUTE FOR MOLECULAR GENETICS   (Germany)

^b CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CADAVER; DATA BASE; GLOMERULUS FILTRATION RATE; GRAFT RECIPIENT; HUMAN; KERNEL METHOD; KIDNEY TRANSPLANTATION; MACHINE LEARNING; ORGAN DONOR; PREDICTION; RANDOM FOREST; SUPPORT VECTOR MACHINE; TREATMENT FAILURE; TREATMENT OUTCOME;

COMPUTER SIMULATION; FEMALE; GLOMERULAR FILTRATION RATE; GRAFT SURVIVAL; HUMANS; KIDNEY TRANSPLANTATION; LINEAR MODELS; MALE; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); PROGNOSIS; SUPPORT VECTOR MACHINES; TREATMENT OUTCOME;

EID: 84857145754     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2010-000004     Document Type: Article

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