How decision system trained on a large database recognizes new cases - prelude before clinical implementation

In the research presented here, a joint team (cardiologists and software specialists) focused on the evaluation of previously created, multi-stage decision systems trained on real clinical data. The question is how a decision system trained on a large database recognizes new cases remains unanswered? Obtained results seem to confirm that decision systems trained on a large dataset works well on new data - which may confirm its usefulness in clinical practice. An acceptable level of accuracy for doctorspsila decisions was achieved. For more specialist areas (like pacemakers implantation) where strict guidelines are available, the accuracy was higher.