Leveraging dynamic prompting for outcome prediction of cancer patients using large language models and electronic health record notes
Outcome prediction from unstructured EHR notes remains challenging, especially for rare cancers with limited representation in large language model (LLM) pre-training data. We present a dynamic prompting framework that retrieves semantically similar patient examples, constructs tailored few-shot prompts and integrate...