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Project: Learning DBN's in the prediction of cancer survivabilityInvestigators: Ana Sarabando at Universidade do Porto. Created at: 2009-03-03 12:00. Last updated at: 2009-03-03 12:03. Description: The aim of this work is to determine if the performance of a dynamic bayesian netwoks is satisfactory when compared with a static bayesian network, in a carcinoid model, as a predictor of survivability. Status: Approved Operations:
Analyses: Refresh
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