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Cross-Learning on Multiple Databases in the Case of Acute Appendicitis
Bethesda, Maryland March 26-March 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.94169114th IEEE Symposium on Computer-Based ...
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V. Podgorelec, University of Maribor
M. Zorman, University of Maribor
P. Kokol, University of Maribor
H.-P. Eich, Heinrich-Heine University D?sseldorf
C. Ohmann, Heinrich-Heine University D?sseldorf
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
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