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Article

Natural language inference for clinical registry curation

2021-06-14

Abstract excerpt

Clinical registries - structured databases of demographic, diagnosis, and treatment information for patients with specific diseases or phenotypes - play vital roles in high-quality retrospective studies, operational planning, and assessment of patient eligibility for research, including clinical trials. However, registries are extremely time and resource intensive to curate. Natural language processing (NLP) can h...

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Identifiers and source

Literature Corpus work
d5d19e57-6512-5bde-8f7c-9e7ee02377ff
DOI
10.1101/2021.06.14.21258493
Open publication

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Natural language inference for clinical registry curationDOI 10.1101/2021.06.14.21258493
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