Development of a large language model clinical variable extraction pipeline for the study of lymphedema
For many disease processes, clinical information is often captured in unstructured clinical notes that require manual data extraction for research. Large language models (LLMs) have the potential to automate the data extraction process, enabling study for diseases with fewer tabular metrics available. Here, we report t...