Recent Study on Breast Cancer Prediction Based on Deep Neural Network Model Implemented AWS Machine Learning Platform

Authors

  • Le Dinh Phu Cuong College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China and Yersin University, Vietnam.
  • Dong Wang College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China.
  • Duyen The Hoang College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China.
  • Le Mai Nhu Uyen Yersin University, Vietnam and College of Life Science, Hunan Normal University, Changsha 410082, China.

DOI:

https://doi.org/10.9734/bpi/aaer/v11/9219D

Keywords:

Breast cancer, deep neural network, deep learning, AWS SageMaker, docker containers

Abstract

Breast cancer is one of the most dangerous cancers in women, with developing breast tissue leading to death. Surgery, radiation, chemicals in conjunction with hormone therapy, and biological therapy are some of the current therapies for breast cancer that have made significant progress. The Deep Neural Network (DNN) model is implemented on the AWS machine learning framework in this work, as well as a comparison with other machine learning techniques such as XGBoost and Random Forest on a public dataset.  The plot of model accuracy for the training and validation sets, as well as performance assessment metrics to evaluate the model, show that breast cancer prediction based on DNN model with Hyperparameter tuning has the best results.

Published

2021-05-19

How to Cite

Le Dinh Phu Cuong, Dong Wang, Duyen The Hoang, & Le Mai Nhu Uyen. (2021). Recent Study on Breast Cancer Prediction Based on Deep Neural Network Model Implemented AWS Machine Learning Platform. Advanced Aspects of Engineering Research Vol. 11, 22–32. https://doi.org/10.9734/bpi/aaer/v11/9219D

Issue

Advanced Aspects of Engineering Research Vol. 11

Section

Chapters