Anais Do XX Encontro Nacional De Inteligência Artificial E Computacional (ENIAC 2023) 2023
DOI: 10.5753/eniac.2023.234253
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Optimizing explainability of Breast Cancer Recurrence using FuzzyGenetic

Fabio Cardoso,
Thiago Medeiros,
Marley Vellasco
et al.

Abstract: Breast cancer is the most common cancer diagnosed in the world, being the cause of death of 685,000 people worldwide in 2020. Due to the aggressiveness of the disease, early-stage identification, treatment, and remission detection are important to ensure longevity to those who may have cancer. In this paper, we propose a fuzzy-genetic approach for breast cancer recurrence classification. To this end, we use a Genetic Algorithm to design automatically the fuzzy inference system with the objective of balancing b… Show more

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