Title :
Cross-learning on multiple databases in the case of acute appendicitis
Author :
Podgorelec, V. ; Zorman, M. ; Kokol, P. ; Eich, H.-P. ; Ohmann, C.
Author_Institution :
Lab. for Syst. Design, Maribor Univ., Slovenia
Abstract :
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
Keywords :
decision trees; deductive databases; evolutionary computation; learning (artificial intelligence); medical expert systems; medical information systems; acute abdominal pain; acute appendicitis prediction; cross-learning; decision tree induction; evolutionary method; international projects; machine learning algorithm; multiple databases; Abdomen; Computer aided software engineering; Databases; Decision trees; Error analysis; Genetic algorithms; Machine learning; Pain; Surgery; Testing;
Conference_Titel :
Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on
Conference_Location :
Bethesda, MD
Print_ISBN :
0-7695-1004-3
DOI :
10.1109/CBMS.2001.941691
