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References from Leveraging Generative Large Language Models for Temporal Relation Extraction From French Clinical Narratives: Prompt-Chaining Approach. Local targets link to admitted publications; unresolved targets remain external evidence.
A novel data-driven workflow combining literature and electronic health records to estimate comorbidities burden for a specific disease: a case study on autoimmune comorbidities in patients with celiac disease
10.1186/s12911-017-0537-y · External reference
Clinical concept extraction: a methodology review
10.1016/j.jbi.2020.103526 · External reference
Hybrid deep learning for medication-related information extraction from clinical texts in French: MedExt algorithm development study
10.2196/17934 · External reference
Evaluating temporal relations in clinical text: 2012 i2b2 Challenge
10.1136/amiajnl-2013-001628 · External reference
10.18653/v1/s15-2136
10.18653/v1/s15-2136 · External reference
10.18653/v1/s16-1165
10.18653/v1/s16-1165 · External reference
10.18653/v1/s17-2093
10.18653/v1/s17-2093 · External reference
TEMPTING system: a hybrid method of rule and machine learning for temporal relation extraction in patient discharge summaries
10.1016/j.jbi.2013.09.007 · External reference
A new algorithmic approach for the extraction of temporal associations from clinical narratives with an application to medical product safety surveillance reports
10.1016/j.jbi.2016.06.006 · External reference
Reconstructing the patient’s natural history from electronic health records
10.1016/j.artmed.2020.101860 · External reference
Multilayered temporal modeling for the clinical domain
10.1093/jamia/ocv113 · External reference
10.18653/v1/s16-1175
10.18653/v1/s16-1175 · External reference
Supervised methods to extract clinical events from cardiology reports in Italian
10.1016/j.jbi.2019.103219 · External reference
Attention-based bidirectional long short-term memory networks for extracting temporal relationships from clinical discharge summaries
10.1016/j.jbi.2021.103915 · External reference
Review of temporal reasoning in the clinical domain for timeline extraction: where we are and where we need to be
10.1016/j.jbi.2021.103784 · External reference
10.18653/v1/d19-3029
10.18653/v1/d19-3029 · External reference
10.18653/v1/s17-2098
10.18653/v1/s17-2098 · External reference
Clinical temporal relation extraction with probabilistic soft logic regularization and global inference
10.1609/aaai.v35i16.17721 · External reference
10.18653/v1/e17-2118
10.18653/v1/e17-2118 · External reference
10.1109/time.2006.27
10.1109/time.2006.27 · External reference
10.18653/v1/s16-1192
10.18653/v1/s16-1192 · External reference
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10.18653/v1/s16-1197 · External reference
10.18653/v1/e17-2117
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10.18653/v1/w18-5607
10.18653/v1/w18-5607 · External reference
10.18653/v1/2020.emnlp-demos.6
10.18653/v1/2020.emnlp-demos.6 · External reference
10.18653/v1/w19-1908
10.18653/v1/w19-1908 · External reference
10.18653/v1/2023.bionlp-1.28
10.18653/v1/2023.bionlp-1.28 · External reference
Temporal annotation in the clinical domain
10.1162/tacl_a_00172 · External reference
10.18653/v1/d15-1203
10.18653/v1/d15-1203 · External reference
10.18653/v1/2025.acl-long.1251
10.18653/v1/2025.acl-long.1251 · External reference
10.18653/v1/p18-1122
10.18653/v1/p18-1122 · External reference
10.18653/v1/2023.bionlp-1.16
10.18653/v1/2023.bionlp-1.16 · External reference
Using large language models for temporal relation extraction from pediatric clinical reports
10.1093/jamiaopen/ooaf121 · External reference
Temporal relation extraction in clinical texts
10.1145/3462475 · External reference
10.18653/v1/2020.acl-main.703
10.18653/v1/2020.acl-main.703 · External reference
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10.18653/v1/2022.clinicalnlp-1.12
10.18653/v1/2022.clinicalnlp-1.12 · External reference
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10.18653/v1/2021.findings-emnlp.204
10.18653/v1/2021.findings-emnlp.204 · External reference
10.18653/v1/2023.bionlp-1.7
10.18653/v1/2023.bionlp-1.7 · External reference
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10.18653/v1/2025.emnlp-main.1467
10.18653/v1/2025.emnlp-main.1467 · External reference
DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
10.1038/s41586-025-09422-z · External reference
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10.18653/v1/2024.bionlp-1.6
10.18653/v1/2024.bionlp-1.6 · External reference
10.18653/v1/2024.clinicalnlp-1.39
10.18653/v1/2024.clinicalnlp-1.39 · External reference
10.18653/v1/2024.clinicalnlp-1.53
10.18653/v1/2024.clinicalnlp-1.53 · External reference
Model tuning or prompt tuning? A study of large language models for clinical concept and relation extraction
10.1016/j.jbi.2024.104630 · External reference
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need
10.1093/jamia/ocae078 · External reference
10.63317/2x38wgwt3eai
10.63317/2x38wgwt3eai · External reference
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10.18653/v1/2024.clinicalnlp-1.37
10.18653/v1/2024.clinicalnlp-1.37 · External reference
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Prompt engineering paradigms for medical applications: scoping review
10.2196/60501 · External reference
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A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse
10.1016/j.jbi.2018.02.019 · External reference
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Annotating temporal information in clinical narratives
10.1016/j.jbi.2013.07.004 · External reference
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10.1007/1-84628-168-7
10.1007/1-84628-168-7 · External reference
10.63317/2rbzu6ev8x4m
10.63317/2rbzu6ev8x4m · External reference
A survey on evaluation of large language models
10.1145/3641289 · External reference
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Green Algorithms: quantifying the carbon footprint of computation
10.1002/advs.202100707 · External reference
10.18653/v1/2025.acl-long.1238
10.18653/v1/2025.acl-long.1238 · External reference
