Empirical Study of Overfitting in Deep Learning for Predicting Breast Cancer Metastasis

Empirical Study of Overfitting in Deep Learning for Predicting Breast Cancer Metastasis

Overfitting may affect the accuracy of predicting future data because of weakened generalization. In this research, we used an electronic health records (EHR) dataset concerning breast cancer metastasis to study the overfitting of deep feedforward neural networks (FNNs) prediction models. We studied...

Full description

Bibliographic Details
Main Authors: Chuhan Xu, Pablo Coen-Pirani, Xia Jiang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Cancers
Subjects:
deep learning
overfitting
modeling
breast cancer
metastasis
activate function
Online Access:https://www.mdpi.com/2072-6694/15/7/1969

Internet

https://www.mdpi.com/2072-6694/15/7/1969

Similar Items