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Found 3 papers, 1 papers with code
Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations
Biomedical literature is growing rapidly, making it challenging to curate and extract knowledge manually.
A Hybrid Citation Retrieval Algorithm for Evidence-based Clinical Knowledge Summarization: Combining Concept Extraction, Vector Similarity and Query Expansion for High Precision
This is significantly high when compared to a query-expansion based baseline (F-score of 1. 3% on HF and 2. 2% on AFib) and a system that uses query expansion with disease hyponyms and journal names, concept-based screening, and term-based vector similarity system (F-score of 37. 5% on HF and 39. 5% on AFib).
CRTS: A type system for representing clinical recommendations
Conclusion: We showed that our proposed type system is precise and comprehensive in representing a large sample of recommendations available for various disorders.
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