MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation
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资源简介：
MedNorm is a corpus of 27,979 textual descriptions simultaneously mapped to both MedDRA and SNOMED-CT, sourced from five publicly available datasets across biomedical and social media domains. The cross-terminology medical concept embeddings are 64-dimensional vectors for UMLS, MedDRA and SNOMED-CT concepts that are able to capture semantic similarities between concepts from different medical terminologies. For more details see paper entitled "MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation"
创建时间：
2019-06-03
