NCBI PubMed Central
open access
Dynamic few-shot prompting for clinical note section classification using lightweight, open-source large language models.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
Checking your browser - reCAPTCHA Checking your browser before accessing pmc.ncbi.nlm.nih.gov ... Click here if you are not automatically redirected after 5 seconds.
Related documents
- UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI#1155343
- ObGynLongBench: Revealing the Evidence-to-EHR Gap in Longitudinal EHR Decision-Making#984512
- Structured prompting as reusable clinical tools.#615804
- A Natural Language Processing Framework for Structuring and Visualizing Clinical Trial Eligibility Criteria at Scale: Protocol for a Quantitative Study.#185876
- ClinTraceBench: Source-Verifiable Longitudinal Clinical Reasoning over EHR-Derived Dialogues#821085
Record · ID 255452 · SHA-256 5f739d96d694e5a0
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive