Article

Combining Clinician Expertise with Prompt Engineering enhances Small Language Models Reliability for Cancer Entity Recognition in Electronic Health Records

2025-10-21

Abstract excerpt

<h4>ABSTRACT</h4> Real-world data (RWD), largely stored in unstructured electronic health records (EHRs), are critical for understanding complex diseases like cancer. However, extracting structured information from these narratives is challenging due to linguistic variability, semantic complexity, and privacy concerns. This study evaluates the performance of four locally deployable and small language models (SLMs...

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Literature Corpus work: 5ba4e0fd-40bf-5211-92dc-1b15d9a0d8ab
DOI: 10.1101/2025.10.16.25337917

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