This project examines a database (ESCARVAL) about patients with cardiovascular risk. Its main problem is that the classes are unbalanced and it is needed to apply special techniques to solve this problem; First processing techniques (such as the algorithm SMOTE) and secondly special models (for example, one-class classifiers).
Status: Finished
Start date: 09/01/2015
End date: 12/31/2015