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Erschienen in:
2004 | OriginalPaper | Buchkapitel
Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System
verfasst von : Ron Andrews, Stanislaw Bajcar, Jerzy W. Grzymała-Busse, Zdzisław S. Hippe, Chris Whiteley
Erschienen in: Rough Sets and Current Trends in Computing
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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Our main objective was to improve the diagnosis of melanoma by optimizing the ABCD formula, used by dermatologists in melanoma identification. In our previous research, an attempt to optimize the ABCD formula using the LEM2 rule induction algorithm was successful. This time we decided to replace LEM2 by C4.5, a tree generating data mining system. The final conclusion is that, most likely, for C4.5 the original ABCD formula is already optimal and no further improvement is possible.