Bayes net classifiers for prediction of renal graft status and survival period

World Academy of Science, Engineering and Technology

Volumn 63, Issue , 2010, Pages 144-150

  Li, Jiakai ^a   Serpen, Gursel ^a   Selman, Steven ^b   Franchetti, Matt ^a   Riesen, Mike ^a   Schneider, Cynthia ^b  

^a The University of Toledo   (United States)

^b MEDICAL COLLEGE OF OHIO   (United States)

Author keywords

Bayesian network classifier; Graft survival period; Renal transplantation; United network for organ sharing

Indexed keywords

BAYES NET; BAYESIAN BELIEF NETWORKS; BAYESIAN NETWORK CLASSIFIER; BAYESIAN NETWORK CLASSIFIERS; DATA SETS; DECISION MAKING TOOL; FIRST YEAR; MACHINE LEARNING SOFTWARE; MEDICAL CENTER; PATIENT RECORD; PREDICTION ACCURACY; RENAL TRANSPLANTATION; SIMULATION RESULT; TRUE POSITIVE; TRUE POSITIVE RATES; UNIVERSITY OF TOLEDO;

CLASSIFIERS; COMPUTER SIMULATION; DISTRIBUTED PARAMETER NETWORKS; FORECASTING; GRAFTING (CHEMICAL); HOSPITALS; INFERENCE ENGINES; INFORMATION USE; INTELLIGENT NETWORKS;

BAYESIAN NETWORKS;

EID: 78651563110     PISSN: 2010376X     EISSN: 20103778     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

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