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ARPN Journal of Engineering and Applied Sciences

Computational model to relate risk factors and the appearance of breast masses employing artificial intelligence techniques

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Author Angie Peña, Lilian Bejarano and Helbert Espitia
e-ISSN 1819-6608
On Pages 1225-1231
Volume No. 19
Issue No. 19
Issue Date December 18, 2024
DOI https://doi.org/10.59018/102454
Keywords artificial intelligence, breast cancer, early detection, machine learning, prevention, risk factors.


Abstract

This article develops the design and implementation of a model for related risk factors to the appearance of breast masses carried out by artificial intelligence, providing essential information for formulating the computational model. The dataset used in this work is obtained from Open Data Colombia, which provides a set of basic data results from breast examinations performed on women.

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