A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques

A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques

Abstract In this paper, three Double Machine Learning (DML) models are proposed to enhance the accuracy of breast cancer detection using machine learning techniques using breast cancer detection dataset. The DML models learn the primary features using machine learning and deep learning models. Then,...

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Bibliographic Details
Main Authors: Suganya Athisayamani, Tamilazhagan S, A. Robert Singh, Jae-Yong Hwang, Gyanendra Prasad Joshi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Breast Cancer
Machine Learning
SVM
Random Forest
Decision Tree
KNN
Online Access:https://doi.org/10.1038/s41598-025-06426-7
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https://doi.org/10.1038/s41598-025-06426-7

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