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Project: Learning DBN's in the prediction of cancer survivability

Investigators: Ana Sarabando at Universidade do Porto. Created at: 2009-03-03 12:00. Last updated at: 2009-03-03 12:03.


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


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Analyses: Refresh

No. ID Status Note Show Settings Show Results Remove Results Allow Others to View
1 1620 Finished Dinamic with binning discretization2 Show settings Show results Remove results
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