Cross-learning on multiple databases in the case of acute appendicitis

We study the cross-learning approach on multiple databases to predict acute appendicitis. For the machine learning algorithm, our evolutionary method for inducing decision trees is used. The results of cross-learning are presented for the three different databases obtained in international projects regarding acute abdominal pain.