Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis

Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis

Abstract Breast cancer, with its high incidence and mortality globally, necessitates early prediction of local and distant recurrence to improve treatment outcomes. This study develops and validates predictive models for breast cancer recurrence and metastasis using Recurrence-Free Survival Analysis...

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Bibliographic Details
Main Authors: Shahd M. Noman, Youssef M. Fadel, Mayar T. Henedak, Nada A. Attia, Malak Essam, Sarah Elmaasarawii, Fayrouz A. Fouad, Esraa G. Eltasawi, Walid Al-Atabany
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Breast cancer
Recurrence prediction
Machine learning
Metastasis
Survival analysis
Online Access:https://doi.org/10.1038/s41598-025-87622-3
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