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OncoRAG: Graph-Based Retrieval Enabling Clinical Phenotyping from Oncology Notes Using Local Mid-Size Language Models

2026-03-06

Abstract excerpt

<h4>Introduction</h4> Manual data extraction from unstructured clinical notes is labor-intensive and impractical for large-scale clinical and research operations. Existing automated approaches typically require large language models, dedicated computational infrastructure, and/or task-specific fine-tuning that depends on curated data. The objective of this study is to enable accurate extraction with smaller local...

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Literature Corpus work
3d869f36-96fe-5d72-8523-73a4077a7b44
DOI
10.64898/2026.03.05.26347717
Open publication

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