bioRxiv / medRxiv
open access
CC BY 4.0
Disease Risk Prediction Using Structured EHR Data: Can Generalist Large Language Models Match Specialized Clinical Foundation Models? A Comparative Evaluation with Fine-Tuning
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.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Improving Fairness of Large Language Model-Based ICU Mortality Prediction via Case-Based Prompting#1143654
- Comprehensive Evaluation of Large Language Models on Four Core Medical School Courses: A Cross-Sectional Comparative Study.#1134577
- Large language models in healthcare: applications, evaluation frameworks, and governance pathways — a scoping review and multidimensional framework.#1175561
- Applications, Challenges, and Future Directions of Large Language Models in Health Care Communication: Scoping Review.#320608
- The Reliability of Human Evaluation of Large Language Models in Health Care Settings: Scoping Review.#653520
Record · ID 241507
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