Prediction of breast cancer through biomarkers using machine learning

Quintanilla A.G.; Medina N.M.; Sulla-Torres J. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2020) · DOI: 10.18687/laccei2020.1.1.514

Resumen

The prediction of breast cancer through biomarkers is proposed through machine learning, in order to minimize the waiting time that exists at the time a cancer is discarded due to the different factors that exist in our national reality. For this, a Neural Network has been used, which is an Automatic Learning algorithm that allowed us to make the prediction. The results showed that with the developed design of the Neural Network an accuracy of 82.76% was obtained, likewise, a prototype was built that allowed validating the proposal, with which it can be concluded that the Neural Network is an adequate algorithm to be used for Complementary to the prediction of breast cancer through biomarkers and that the developed prototype serves those interested in the oncology field.

Instituciones: Universidad Católica de Santa María