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Dataset Open Access

COVID-19 Concept Embeddings

Newman-Griffis, Denis; Fosler-Lussier, Eric

Up-to-date information and pre-trained embeddings can be found here.

In order to support NLP research efforts related to COVID-19, we have developed resources for training vector-valued embeddings of COVID-19 related medical concepts, primarily using the CORD-19 dataset.

This resource includes only concept embeddings.  Download of the full sets of concept, term, and word embeddings from here requires a valid UMLS Terminology Services account, in order to validate licensed access to SNOMED-CT.

Files (145.9 MB)
Name Size
CORD19_202003020_concepts.txt
md5:e9bea0f6edf54b3f8bd28131074b48e1
145.9 MB Download
README
md5:4e819183e06ee12e5278ed8112d25f80
499 Bytes Download
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Views 4,8931,231
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Data volume 57.1 GB2.5 GB
Unique views 4,5471,190
Unique downloads 27997

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