Abstract
Although computerized tools for medical diagnosis have been developed since the early 60s, their number and capabilities have grown impressively in the last years due, mainly, to the availability of medical data and increased computing power. Most of these systems are conceived to provide high diagnostic performance. However, interest has recently shifted to systems capable of providing, besides a correct diagnosis, insight on how the answer was obtained. Thanks to their linguistic representation and their numeric behavior, fuzzy systems can provide both performance and explanation.
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© 2004 Springer-Verlag Berlin Heidelberg
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Peña Reyes, C.A. (2004). 4 Breast Cancer Diagnosis by Fuzzy CoCo. In: Coevolutionary Fuzzy Modeling. Lecture Notes in Computer Science, vol 3204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30118-9_4
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DOI: https://doi.org/10.1007/978-3-540-30118-9_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22994-0
Online ISBN: 978-3-540-30118-9
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