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Volumn , Issue , 2005, Pages 345-349
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Using Bayesian networks to predict survival of liver transplant patients.
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Author keywords
[No Author keywords available]
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Indexed keywords
ADULT;
AREA UNDER THE CURVE;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BAYES THEOREM;
DECISION SUPPORT SYSTEM;
FEMALE;
GRAFT SURVIVAL;
HUMAN;
LIVER TRANSPLANTATION;
MALE;
MIDDLE AGED;
OUTCOME ASSESSMENT;
ROC CURVE;
SENSITIVITY AND SPECIFICITY;
SURVIVAL;
ADULT;
AREA UNDER CURVE;
BAYES THEOREM;
DECISION SUPPORT TECHNIQUES;
FEMALE;
GRAFT SURVIVAL;
HUMANS;
LIVER TRANSPLANTATION;
MALE;
MIDDLE AGED;
NEURAL NETWORKS (COMPUTER);
OUTCOME ASSESSMENT (HEALTH CARE);
ROC CURVE;
SENSITIVITY AND SPECIFICITY;
SURVIVAL ANALYSIS;
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EID: 34547933045
PISSN: None
EISSN: 15594076
Source Type: Journal
DOI: None Document Type: Article |
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Times cited : (30)
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References (0)
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