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

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5 Author(s)
Podgorelec, V. ; Lab. for Syst. Design, Maribor Univ., Slovenia ; Zorman, M. ; Kokol, P. ; Eich, H.-P.
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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

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Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on

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