Supervised Models predicting Sample Clauses

Supervised Models predicting. M12 Mental Health and QoL: Generalizability of risk prediction models across clinical sites (FORTH) We assessed the generalizability of the supervised learning algorithms and associated pipeline across the four clinical sites. In this framework, for each one of the four models, outlined in detail in D4.3a, we considered each cohort separately as the testing/validation set of the training model. The training phase was implemented each time on three out of four datasets keeping the last cohort for testing purposes regarding the different combinations of the four available cohorts. This approach therefore validates the proposed ML-based pipeline when new unseen patient data are considered for predicting M12 outcomes given the patient characteristics at baseline (M0) and 3-months post diagnosis.