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Development and validation of MedDRA Tagger: a tool for extraction and structuring medical information from clinical notes
2022-12-14
health informatics
Title + abstract only
View on medRxiv
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Rapid and automated extraction of clinical information from patients notes is a desirable though difficult task. Natural language processing (NLP) and machine learning have great potential to automate and accelerate such applications, but developing such models can require a large amount of labeled clinical text, which can be a slow and laborious process. To address this gap, we propose the MedDRA tagger, a fast annotation tool that makes use of industrial level libraries such as spaCy, biomedic...
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