36 citations · 78 across the 7 of their papers we have counts for
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cs.CL2019★ 18 cited
MedCAT -- Medical Concept Annotation Tool
Zeljko Kraljevic, Daniel Bean, Aurelie Mascio +5
Biomedical documents such as Electronic Health Records (EHRs) contain a large amount of information in an unstructured format. The data in EHRs is a hugely valuable resource docume…
cs.HC2019★ 36 cited
MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation
Thomas Searle, Zeljko Kraljevic, Rebecca Bendayan +2
We present MedCATTrainer an interface for building, improving and customising a given Named Entity Recognition and Linking (NER+L) model for biomedical domain text. NER+L is often…