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Using Synthetic Health Care Data to Leverage Large Language Models for Named Entity Recognition: Development and Validation Study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-031-18315-7_10openalex-snapshot
MRC-Based Medical NER with Multi-task Learning and Multi-strategies
inferredcites →https://doi.org/10.1007/978-3-031-23190-2_2openalex-snapshot
Pre-trained Language Models
inferredcites →https://doi.org/10.1016/j.cosrev.2022.100511openalex-snapshot
Neural Natural Language Processing for unstructured data in electronic health records: A review
inferredcites →https://doi.org/10.1038/s41746-022-00742-2openalex-snapshot
A large language model for electronic health records
inferredcites →https://doi.org/10.1080/01621459.1927.10502953openalex-snapshot
Probable Inference, the Law of Succession, and Statistical Inference
inferredcites →https://doi.org/10.1089/big.2021.0169openalex-snapshot
A Review of Anonymization for Healthcare Data
inferredcites →https://doi.org/10.1109/snlp.2009.5340913openalex-snapshot
Thai named entity recognition based on conditional random fields
inferredcites →https://doi.org/10.1145/3459930.3469560openalex-snapshot
Transformer-based named entity recognition for parsing clinical trial eligibility criteria
inferredcites →https://doi.org/10.1197/j.jamia.m2441openalex-snapshot
State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning Framework
inferredcites →https://doi.org/10.1197/jamia.m1733openalex-snapshot
Agreement, the F-Measure, and Reliability in Information Retrieval
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.519openalex-snapshot
A Unified MRC Framework for Named Entity Recognition
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.747openalex-snapshot
Unsupervised Cross-lingual Representation Learning at Scale
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.626openalex-snapshot
Is GPT-3 a Good Data Annotator?
inferredcites →https://doi.org/10.18653/v1/2023.bsnlp-1.1openalex-snapshot
Named Entity Recognition for Low-Resource Languages - Profiting from Language Families
inferredcites →https://doi.org/10.18653/v1/2023.clinicalnlp-1.53openalex-snapshot
Transfer Learning for Low-Resource Clinical Named Entity Recognition
inferredcites →https://doi.org/10.18653/v1/2023.ijcnlp-main.45openalex-snapshot
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.192openalex-snapshot
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
inferredcites →https://doi.org/10.18653/v1/2024.findings-naacl.210openalex-snapshot
Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer
inferredcites →https://doi.org/10.21037/jmai-23-71openalex-snapshot
The impact of prompt engineering in large language model performance: a psychiatric example
inferredcites →https://doi.org/10.21203/rs.3.rs-4240043/v1openalex-snapshot
Me-LLaMA: Foundation Large Language Models for Medical Applications
inferredcites →https://doi.org/10.3389/fpubh.2021.641424openalex-snapshot
Understanding the Barriers and Facilitators to Sharing Patient-Generated Health Data Using Digital Technology for People Living With Long-Term Health Conditions: A Narrative Review
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.48550/arxiv.1909.05858openalex-snapshot
CTRL: A Conditional Transformer Language Model for Controllable Generation
inferredcites →https://doi.org/10.48550/arxiv.2303.04360openalex-snapshot
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
inferredcites →https://doi.org/10.48550/arxiv.2305.14450openalex-snapshot
An Empirical Study on Information Extraction using Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2308.03629openalex-snapshot
MedMine: Examining Pre-trained Language Models on Medication Mining
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-19678-1_29openalex-snapshot
Named Entity Recognition for Healthcare: A Comparative Survey
inferred← citeshttps://doi.org/10.1007/978-981-95-2348-1_29openalex-snapshot
Named Entity Recognition Algorithm Based on Pre-trained Language Model
inferred← citeshttps://doi.org/10.1007/s41666-026-00229-9openalex-snapshot
A Scoping Review of Synthetic Data Generation by Language Models in Biomedical Research and Application: Data Utility and Quality Perspectives
inferred← citeshttps://doi.org/10.1016/j.esmorw.2026.100684openalex-snapshot
AI assistance in tumor multidisciplinary teams
inferred← citeshttps://doi.org/10.1016/j.procs.2026.08.263openalex-snapshot
Development of Rule-Weighted Ensemble Method for Masking Personally Identifiable Information in Financial Document Using Regex and NER
inferred← citeshttps://doi.org/10.1109/ectidamtncon67592.2026.11459830openalex-snapshot
Classifying Burmese (Myanmar) Medical Reviews Using Synthetic Data Approach
inferred← citeshttps://doi.org/10.1109/icmi68585.2026.11539867openalex-snapshot
A Robust Adversarial GANs Approach to Pharmaceutical Data Generation
inferred← citeshttps://doi.org/10.1371/journal.pdig.0001242openalex-snapshot
Leveraging large language models for rare disease named entity recognition
inferred← citeshttps://doi.org/10.2196/70080openalex-snapshot
Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study
inferred← citeshttps://doi.org/10.2196/86183openalex-snapshot
Extracting and Classifying Drug Discontinuations From Estonian Electronic Health Records: Development and Validation Study
inferred← citeshttps://doi.org/10.2196/preprints.111362openalex-snapshot
Collaborative Weak-Supervision Annotation With Multiple Large Language Models and BERT for Hospital Patient Service Question Categorization: Development and Validation Study (Preprint)
inferred← citeshttps://doi.org/10.3389/fdgth.2026.1826526openalex-snapshot
Adaptive refinement and prompt-guided conditioning for clinically realistic LLM-generated synthetic pediatric data
inferred← citeshttps://doi.org/10.3390/app15179376openalex-snapshot
One Report, Multifaceted Views: Multi-Expert Rewriting for ECG Interpretation
inferred← citeshttps://doi.org/10.3390/app16157795openalex-snapshot
Text2FHIRwallet: Automated Generation of FHIR Patient Summaries from Unstructured Cardiology Reports Using Fine-Tuned Portuguese Language Models—Development and Evaluation of a Health Professional Wallet
inferred← citeshttps://doi.org/10.3390/jpm15080334openalex-snapshot
Enhancing and Not Replacing Clinical Expertise: Improving Named-Entity Recognition in Colonoscopy Reports Through Mixed Real–Synthetic Training Sources
inferred← citeshttps://doi.org/10.64898/2026.01.27.26345015openalex-snapshot
Generation of Synthetic Data in Health Surveys Using Large Language Models
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