Machine Learning, Data Science, Artificial Intelligence, Healthcare.
the first and last day? Results After feature selection we ended up with ~200 features per patients: we were then ready to train a classifier. We tested several algorithms and reached the best performance with a Support-Vector-Machine (SVM) algorithm delivering an area under the ROC curve of 0.833.