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

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

doi:10.18687/LACCEI2020.1.1.514

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 proceeding › Conference contribution › peer-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 contribution	Prediction of breast cancer through biomarkers using machine learning
Original language	Spanish
Title of host publication	18th 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
Publisher	Latin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)	9789585207141
DOIs	https://doi.org/10.18687/LACCEI2020.1.1.514
State	Published - 2020
Externally published	Yes
Event	18th 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 2020 → 31 Jul 2020

Publication series

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

Conference

Conference	18th 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
City	Virtual, Online
Period	27/07/20 → 31/07/20

Bibliographical note

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

Access to Document

10.18687/LACCEI2020.1.1.514

Cite this

Quintanilla, A. G., Medina, N. M., & Sulla Torres, J. A. (2020). Predicción de cáncer de mama a través de biomarcadores mediante aprendizaje automático. In 18th 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 (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). Latin American and Caribbean Consortium of Engineering Institutions. https://doi.org/10.18687/LACCEI2020.1.1.514

Quintanilla, Andrea Gutiérrez ; Medina, Nicole Mancilla ; Sulla Torres, Jose Alfredo. / Predicción de cáncer de mama a través de biomarcadores mediante aprendizaje automático. 18th 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. Latin American and Caribbean Consortium of Engineering Institutions, 2020. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

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title = "Predicci{\'o}n de c{\'a}ncer de mama a trav{\'e}s de biomarcadores mediante aprendizaje autom{\'a}tico",

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.",

keywords = "Cancer, Machine Learning, Neural Network, Prediction, Prototype",

author = "Quintanilla, {Andrea Guti{\'e}rrez} and Medina, {Nicole Mancilla} and {Sulla Torres}, {Jose Alfredo}",

year = "2020",

doi = "10.18687/LACCEI2020.1.1.514",

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Quintanilla, AG, Medina, NM & Sulla Torres, JA 2020, Predicción de cáncer de mama a través de biomarcadores mediante aprendizaje automático. in 18th 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. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, Latin American and Caribbean Consortium of Engineering Institutions, 18th 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, 27/07/20. https://doi.org/10.18687/LACCEI2020.1.1.514

Predicción de cáncer de mama a través de biomarcadores mediante aprendizaje automático. / Quintanilla, Andrea Gutiérrez; Medina, Nicole Mancilla; Sulla Torres, Jose Alfredo.

18th 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. Latin American and Caribbean Consortium of Engineering Institutions, 2020. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Predicción de cáncer de mama a través de biomarcadores mediante aprendizaje automático

AU - Quintanilla, Andrea Gutiérrez

AU - Medina, Nicole Mancilla

AU - Sulla Torres, Jose Alfredo

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Cancer

KW - Machine Learning

KW - Neural Network

KW - Prediction

KW - Prototype

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DO - 10.18687/LACCEI2020.1.1.514

M3 - Contribución a la conferencia

AN - SCOPUS:85096753279

T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

BT - 18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology

PB - Latin American and Caribbean Consortium of Engineering Institutions

Y2 - 27 July 2020 through 31 July 2020

ER -

Quintanilla AG, Medina NM, Sulla Torres JA. Predicción de cáncer de mama a través de biomarcadores mediante aprendizaje automático. In 18th 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. Latin American and Caribbean Consortium of Engineering Institutions. 2020. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). doi: 10.18687/LACCEI2020.1.1.514

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

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