We developed and validated an interpretable ML model that accurately predicts the risk of early death in mPDAC patients. The model's robust performance across US and Chinese populations underscores its broad clinical utility. This tool can assist clinicians in identifying high-risk individuals at diagnosis, thereby informing personalized treatment strategies, prioritizing palliative care, and optimizing resource allocation in diverse healthcare settings.
Zhang et al. (Thu,) studied this question.