Annals of oncology : official journal of the European Society for Medical Oncology
Machine learning reveals country-specific drivers of global cancer outcomes.
M S Patel, C S Pramesh, N N Sanford, E J G Feliciano, P L Nguyen, P Iyengar, T P Kingham, J Willmann, B A Mahal, N Y Lee, M J K Magsanoc-Alikpala, M Mutebi, J F Wu, J P G Robredo, E C Dee
Published: 202610.1016/j.annonc.2025.11.014
Abstract
BACKGROUND: Global inequities in access to cancer diagnostics and treatment contribute to wide variation in cancer mortality-to-incidence ratios (MIRs), a proxy for survival. We aimed to develop an interpretable machine learning framework to quantify…
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