Fig. 3: Binary classification model performance for predicting PC risk at 3–6, 6–12, and 12–36 months before diagnosis.
From: Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings
The binary classification model incorporates a data augmentation strategy to address the limited sample size observed in the multi-label classification model.
