Abstract
This paper presents an evolved rule-based tool for mammography interpretation denominated “COBRA: Catalonia online breastcancer risk assessor.” COBRA is designed to aid radiologists in the interpretation of mammography to decide whether to perform a biopsy on a patient or not while providing a human-friendly explanation of the underlying reasoning. From a diagnostic point of view, the tool exhibits high performance measures (i.e., sensitivity, specificity, and positive predictive value). From an interpretability point of view, COBRA’s behavior is explained by only 14 rules containing, in average, 2.73 conditions perrule.
Cite
CITATION STYLE
Peña-Reyes, C. A., Villa, R., Prieto, L., & Sanchez, E. (2003). COBRA: An evolved online tool for mammography interpretation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2686, pp. 726–733). Springer Verlag. https://doi.org/10.1007/3-540-44868-3_92
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