Abstract
We present a journey through successful applications of multimethod approach to induction of decision trees in knowledge extraction, discovery of new knowledge and early diagnosis on the cases of asthma, cardiovascular problems and mitral valve prolapse. The results show that the multimethod approach is a powerful and promising technique enabling the conformation of existing medical knowledge and more interestingly, also enables the induction of new facts and hypothesis, which can reveal some new interesting patterns and possibly improve the existing medical knowledge.
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References
Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publ., San Francisco (1993)
Thrun, S., Pratt, L.: Learning to Learn. Kluwer Academic Publishers, Dordrecht (1998)
Dietterich, T.G.: Ensemble Methods in Machine Learning. In: 1st International Workshop on Multiple Classifier Systems. LNCS, pp. 1–15. Springer, Heidelberg (2000)
Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison Wesley, Reading (1989)
Iglesias, C.J.: The Role of Hybrid Systems in Intelligent Data Management: The Case of Fuzzy/neural Hybrids, Control Engineering Practice. 4(6), 839–845 (1996)
Lenič, M., Kokol, P.: Combining classifiers with multimethod approach. In: Soft computing systems: design, management and applications, pp. 374–383. IOS Press, Amsterdam (2002)
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Povalej, P., Lenič, M., Štiglic, M.M., Kavalar, M.S., Završnik, J., Kokol, P. (2003). A Journey trough Clinical Applications of Multimethod Decision Trees. In: Dojat, M., Keravnou, E.T., Barahona, P. (eds) Artificial Intelligence in Medicine. AIME 2003. Lecture Notes in Computer Science(), vol 2780. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39907-0_35
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DOI: https://doi.org/10.1007/978-3-540-39907-0_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20129-8
Online ISBN: 978-3-540-39907-0
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