Machine learning-based mapping of multimodal treatment allocations and prognostic implications of clinical concordance in non-small cell lung cancer
Machine learning models of non-small cell lung cancer (NSCLC) treatment usually examine one modality. We developed interpretable models of historical surgery, chemotherapy, and radiotherapy receipt in SEER. We assessed regional transportability and associations between observed treatment-model concordance and survival....