Deep Learning for Predicting Late-Onset Breast Cancer Metastasis: The Single-Hyperparameter Grid Search (SHGS) Strategy for Meta-Tuning a Deep Feed-Forward Neural Network

<b>Background</b>: While machine learning has advanced in medicine, its widespread use in clinical applications, especially in predicting breast cancer metastasis, is still limited. We have been dedicated to constructing a deep feed-forward neural network (DFNN) model to predict breast cancer metast...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Yijun Zhou, Om Arora-Jain, Xia Jiang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-11-01
Schriftenreihe:	Bioengineering
Schlagworte:	deep learning machine learning meta-tunning grid search deep feed-forward neural network hyperparameter tuning
Online-Zugang:	https://www.mdpi.com/2306-5354/12/11/1214
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!