Hybrid neural-symbolic pipeline extracts (action, date) pairs from clinical notes at 0.99 Pair F1 by using BioBERT tagging plus deterministic time normalization, outperforming LLMs on a synthetic benchmark with OOV actions.
Clinical information extraction applications: A literature review
5 Pith papers cite this work, alongside 916 external citations. Polarity classification is still indexing.
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FC-Datalog fragments (linear, deterministic, OLLA, DOLLA, SD-DOLLA) are shown to capture LOGSPACE, with SD-DOLLA giving linear combined complexity, and deterministic regex can be simulated in a tailored fragment.
LLM pipeline with novel attribution algorithm extracts ROS entities, negation status, and body systems from 24 clinical notes at up to 0.952 F1 using open-source models.
Reasoning-style prompts improve few-shot LLM extraction of OPQRST items from EHR notes, but the result rests on an 85-note single-annotator evaluation with an LLM judge.
A PRISMA systematic review of 106 papers finds NLP on chronic disease clinical notes concentrates on classification and entity extraction with shallow machine learning, while deep learning, relation extraction, and temporal modeling remain rare.
citing papers explorer
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Reliable Extraction of Clinical Follow-Up Instructions: A Hybrid Neural-Symbolic Pipeline
Hybrid neural-symbolic pipeline extracts (action, date) pairs from clinical notes at 0.99 Pair F1 by using BioBERT tagging plus deterministic time normalization, outperforming LLMs on a synthetic benchmark with OOV actions.
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A Large Language Model Based Pipeline for Review of Systems Entity Recognition from Clinical Notes
LLM pipeline with novel attribution algorithm extracts ROS entities, negation status, and body systems from 24 clinical notes at up to 0.952 F1 using open-source models.