Open AccessBreast Cancer Prediction based on Deep Neural Network Model Implemented AWS Machine Learning Platform
Author(s) -
Le Dinh Phu Cuong,
Dong Wang,
D. T. Hoang,
Le Mai Nhu Uyen
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3944.079220
Subject(s) - hyperparameter , artificial neural network , machine learning , computer science , artificial intelligence , random forest , breast cancer , deep learning , cancer , medicine
Breast cancer in women is one of the most dangerous cancers leading to death in women by developing breast tissue. In this work, the application of the Deep Neural Network (DNN) model is implemented on AWS machine learning platform, besides, a comparison with other ML techniques includes XGBoost and Random Forest on a public dataset. Breast cancer prediction based on DNN model with Hyperparameter tuning has the best results of the plot of model accuracy for the training and validation sets and performance evaluation metrics to test the model.