Formalization and Induction of Medical Expert System Rules Based on Rough Set Theory
One of the most important problems in developing expert systems is knowledge acquisition from experts[BS1]. In order to automate this problem, many inductive learning methods, such as induction of decision trees[BF1, QU1], rule induction methods[MI1, MI2, QU1] and rough set theory[PA1, ZI1], are introduced and applied to extract knowledge from databases, and the results show that these methods are appropriate.
KeywordsTraining Sample Association Rule Medical Expert Covering Index Common Migraine
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- [AIl]Agrawal, R., Imielinski, T., and Swami, A.: Mining association rules between sets of items in large databases. In: Proceedings of the 1993 International Conference on Management of Data (SIGMOD 93) (1993) 207–216Google Scholar
- [BF1]Breiman, L., Freidman, J., Olshen, R., and Stone, C.: Classification and regression trees. Wadsworth International Group (1984)Google Scholar
- [BSI.]Buchanan, B. G., Shortliffe, E. H.(eds.): Rule-based expert systems. Addison-Wesley, Reading MA (1984)Google Scholar
- [EF1]Efron, B.: The jackknife, the bootstrap and other resampling plans. SIAM (1982)Google Scholar
- [MT1]Mannila, H., Toivonen, H., Verkamo, A.I.: Efficient algorithms for discovering association rules. In: Proceedings of the AAAI Workshop on Knowledge Discovery in Databases (KDD-94), AAAI Press (1984) 181–192Google Scholar
- [MIl]Michalski, R. S.: A theory and methodology of Machine Learning. In: Michalski, R.S., Carbonell, J.G. and Mitchell, T.M. (eds.), Machine Learning - an Artificial Intelligence approach, Morgan Kaufmann, Palo Alto (1983)Google Scholar
- [MI2]Michalski, R. S., Mozetic, I., Hong, J. and Lavrac, N.: The multi-purpose incremental learning system AQ15 and its testing application to three medical domains. In: Proceedings of the Fifth National Conference on Artificial Intelligence, AAAI Press (1986) 1041–1045Google Scholar
- [QU1]Quinlan, J.R.: C4.5 - programs for Machine Learning, Morgan Kaufmann, San Mateo CA (1993)Google Scholar
- [TT1]Tsumoto, S. and Tanaka, H.: Induction of medical expert system rules based on rough sets and resampling methods. In: Proceedings of the 18th Symposium on Computer Applications on Medical Care, Washington, D.C., Hanley & Belfus, Philadelphia (1994) 1066–1070Google Scholar
- [WO1]Walker, M. G., Olshen, R. A.: Probability estimation for biomedical classification problems. In: Proceedings of the Sixteenth Symposium on Computer Applications in Medical Care, McGraw Hill, New York (1992)Google Scholar