Modelo en Machine Learning para el Diagnóstico del Cáncer de Mama

Abstract

Machine learning is part of a branch of artificial intelligence that uses an important number of algorithms developed to give the machine the possibility to learn and respond to problematic situations, of which the machine has been trained, using a data set. Machine learning applications abound in pattern identification and data classification, which have been well received in the scientific and industrial community for the implementation of solutions ranging from anomaly detection in industrial processes, fraud detection and prediction to the analysis of texts and their classification. This document presents the development of the implementation of a Machine Learning model to diagnose breast cancer, where, in detail, the background regarding the development of existing Machine Learning models in the health area and especially for the diagnosis of breast cancer.