Breast cancer prediction based on gene expression data using interpretable machine learning techniques

Abstract Breast cancer remains a global health burden, with an increase in deaths related to this particular cancer. Accurately predicting and diagnosing breast cancer is important for treatment development and survival of patients. This study aimed to accurately predict breast cancer using a datase...

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Bibliographic Details
Main Authors: Gabriel Kallah-Dagadu, Mohanad Mohammed, Justine B Nasejje, Nobuhle Nokubonga Mchunu, Halima S Twabi, Jesca Mercy Batidzirai, Geoffrey Chiyuzga Singini, Portia Nevhungoni, Innocent Maposa
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-85323-5