Research graph
References from Reproducible synthetic clinical letters for seizure frequency information extraction. Local targets link to admitted publications; unresolved targets remain external evidence.
Epilepsy in adults
10.1016/s0140-6736(18)32596-0 · 2019 · External reference
Global, regional, and national burden of epilepsy, 1990–2021: A systematic analysis for the global burden of disease study 2021
10.1016/s2468-2667(24)00302-5 · 2025 · External reference
A big data approach to the development of mixed-effects models for seizure count data
10.1111/epi.13727 · 2017 · External reference
Long-term seizure diary tracking habits in clinical studies: Evidence from the human epilepsy project
10.1016/j.eplepsyres.2024.107379 · 2024 · External reference
Extracting seizure frequency from epilepsy clinic notes: A machine reading approach to natural language processing
10.1093/jamia/ocac018 · 2022 · External reference
Development of a natural language processing algorithm to extract seizure types and frequencies from the electronic health record
10.1016/j.seizure.2022.07.010 · 2022 · External reference
Extracting epilepsy-related information from unstructured clinic letters using large language models
10.1111/epi.18475 · 2025 · External reference
Fine-tuning LLMs to extract epilepsy seizure frequency data from health records
2025 · External reference
Leveraging pretrained language models for seizure frequency extraction from epilepsy evaluation reports
10.1038/s41746-025-01592-4 · 2025 · External reference
Extracting medication information from clinical text
10.1136/jamia.2010.003947 · 2010 · External reference
2010 I2b2/VA challenge on concepts, assertions, and relations in clinical text
10.1136/amiajnl-2011-000203 · 2011 · External reference
MIMIC-III, a freely accessible critical care database
10.1038/sdata.2016.35 · 2016 · External reference
MIMIC-IV, a freely accessible electronic health record dataset
10.1038/s41597-022-01899-x · 2023 · External reference
Automated de-identification of free-text medical records
10.1186/1472-6947-8-32 · 2008 · External reference
Annotating longitudinal clinical narratives for de-identification: The 2014 I2b2/uthealth corpus
10.1016/j.jbi.2015.07.020 · 2015 · External reference
Formalizing drug indications on the road to therapeutic intent
10.1093/jamia/ocx064 · 2017 · External reference
De-identification of clinical data: A systematic review of free text, image and tabular data approaches
10.1016/j.ijmedinf.2025.106225 · 2026 · External reference
Deep learning with differential privacy
2016 · External reference
10.1109/sp.2017.41
10.1109/sp.2017.41 · External reference
Unresolved reference
2021 · External reference
Towards automatic generation of shareable synthetic clinical notes using neural language models
2019 · External reference
Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition
10.1093/jamia/ocab112 · 2021 · External reference
Unresolved reference
2024 · External reference
MedSyn: LLM-based synthetic medical text generation framework
2024 · External reference
SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation
10.1016/j.jbi.2025.104906 · 2025 · External reference
Unresolved reference
2023 · External reference
Chain of thought utilization in large language models and application in nephrology
10.3390/medicina60010148 · 2024 · External reference
Distilling reasoning capabilities into smaller language models
2023 · External reference
Unresolved reference
2016 · External reference
ERASER: A benchmark to evaluate rationalized NLP models
2020 · External reference
Llamafactory: Unified efficient fine-tuning of 100+ language models
2024 · External reference
Unresolved reference
2024 · External reference
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2024 · External reference
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2024 · External reference
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2024 · External reference
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2025 · External reference
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2025 · External reference
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2025 · External reference
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2024 · External reference
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2022 · External reference
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2024 · External reference
