Rules for melanoma skin cancer diagnosis.

Wlodzislaw Duch, Krzysztof Grabczewski, Rafal Adamczak,
Department of Informatics, Nicholas Copernicus University, Grudziadzka 5, 87-100 Torun, Poland.

Zdzislaw S. Hippe,
Department of Expert Systems and Artificial Intelligence, University of Information Technology and Management, Rzeszow, Poland

Analysis of medical data requires not only classification of patterns but also some data understanding. Several systems for extraction of logical rules from data have been applied to analysis of the melanoma skin cancer data. These systems include neural, decision tree and inductive algorithms for rule extraction and minimal-distance methods used for comparison. Very simple and accurate classification rules for the 4 types of melanoma are given.

Final version published in
Proceedings of the 2nd Polish Conference on Computer Pattern Recognition Systems (KOSYR 2001), Wroclaw 2001, pp. 59-68.

Paper in PDF, 30 KB

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