Predicción de cáncer de mama a través de biomarcadores mediante aprendizaje automático

Translated title of the contribution: Prediction of breast cancer through biomarkers using machine learning

Andrea Gutiérrez Quintanilla, Nicole Mancilla Medina, Jose Alfredo Sulla Torres

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Translated title of the contributionPrediction of breast cancer through biomarkers using machine learning
Original languageSpanish
Title of host publication18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtitle of host publication"Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020
PublisherLatin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)9789585207141
DOIs
StatePublished - 2020
Externally publishedYes
Event18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020 - Virtual, Online
Duration: 27 Jul 202031 Jul 2020

Publication series

NameProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (Electronic)2414-6390

Conference

Conference18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020
CityVirtual, Online
Period27/07/2031/07/20

Bibliographical note

Publisher Copyright:
© 2020 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.

Fingerprint

Dive into the research topics of 'Prediction of breast cancer through biomarkers using machine learning'. Together they form a unique fingerprint.

Cite this