Discover Oncology
Development and validation of a deep learning model for breast cancer prognosis using the SEER database
Abstract Background Breast cancer is the most prevalent malignancy and the leading cause of cancer‑related death in women. Despite the widespread use of the TNM stage, patient outcomes vary considerably due to its molecular heterogeneity. Traditional linear models, constrained by linearity assumptions, are inadequate for modeling complex nonlinear interactions in clinical data. Deep learning has emerged as a promising alternative to capture these intricate relationships and improve predictive accuracy. In this stud …