Clinical Relation Extraction
Clinical Relation Extraction is a natural language processing task that identifies and classifies semantic relationships between clinical entities within medical text, distinguishing it from general relation extraction by its focus on domain-specific biomedical or patient-related concepts and contexts.
128
Publications
7.5K
Citations
463
Authors
171
Institutions
Publications per year
2017–2026
93
128
A large language model for electronic health records
Xi Yang, Aokun Chen, Nima PourNejatian et al. · npj Digital Medicine · 2022 · 828 citations · Full text
Large language models are few-shot clinical information extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang et al. · 2022 · 297 citations · Full text
Berry de Bruijn, Colin Cherry, Svetlana Kiritchenko et al. · Journal of the American Medical Informatics Association · 2011 · 240 citations · Full text
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University of Florida
Gainesville, United States
8 h-index
48 publications
10.4K citations
University of Florida Health
Gainesville, United States
6 h-index
21 publications
4.3K citations
UF Health Cancer Center
Gainesville, United States
6 h-index
20 publications
4.3K citations
Harvard University
Cambridge, United States
6 h-index
22 publications
617 citations

Loyola University Chicago
Chicago, United States
5 h-index
5 publications
151 citations

Boston Children's Hospital
Boston, United States
5 h-index
19 publications
536 citations
University of Arizona
Tucson, United States
4 h-index
4 publications
132 citations

University of Minnesota
Minneapolis, United States
4 h-index
6 publications
121 citations
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JAMIA · 16 publications · 2.4K citations
15
h-index
9 publications · 576 citations
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Repository · 9 publications · 337 citations
9
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Repository · 7 publications · 320 citations
8
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6 publications · 199 citations
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