Prognostic model for predicting recurrence in breast cancer patients in Saudi Arabia

Prognostic model for predicting recurrence in breast cancer patients in Saudi Arabia

Abstract Breast cancer recurrence presents a significant global health challenge, and accurate prediction is crucial for effective patient management and improved outcomes. Reliable predictive tools can help tailor therapeutic approaches, provide personalized care, and enhance patient outcomes. In l...

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Bibliographic Details
Main Authors: Ousman Khan, Jimoh Olawale Ajadi, Fahad Almsned, Hani Almohanna, Amjad Alrasheed, Ridwan A. Sanusi, Nurudeen A. Adegoke
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Breast cancer
Cox regression
Nested cross validation
Predictive modelling
Prognostic factors
Online Access:https://doi.org/10.1038/s41598-025-94530-z
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