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

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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

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.

Título traducido de la contribuciónPrediction of breast cancer through biomarkers using machine learning
Idioma originalEspañol
Título de la publicación alojada18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtítulo de la publicación alojada"Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020
EditorialLatin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)9789585207141
DOI
EstadoPublicada - 2020
Evento18th 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
Duración: 27 jul. 202031 jul. 2020

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (versión digital)2414-6390

Conferencia

Conferencia18th 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
CiudadVirtual, Online
Período27/07/2031/07/20

Palabras clave

  • Cancer
  • Machine Learning
  • Neural Network
  • Prediction
  • Prototype

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