14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01) Cross-Learning on Multiple Databases in the Case of Acute Appendicitis Bethesda, Maryland March 26-March 27 ISBN: 0-7695-1004-3
Abstract: We study the cross-learning approach on multiple databases to predict the 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 the international projects regarding the acute abdominal pain.
Citation:
V. Podgorelec, M. Zorman, P. Kokol, H.-P. Eich, C. Ohmann, "Cross-Learning on Multiple Databases in the Case of Acute Appendicitis," cbms, pp.0017, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||