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license: mit
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MedNorm2SnomedCT2UMLS
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license: mit
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MedNorm2SnomedCT2UMLS
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Paper on Mednorm and harmonisation: https://aclanthology.org/W19-3204.pdf
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The medical concept normalisation task aims to map textual descriptions to standard terminologies such as SNOMED-CT or MedDRA.
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Existing publicly available datasets annotated using different terminologies cannot be simply merged and utilised, and therefore become less
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valuable when developing machine learningbased concept normalisation systems.
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To address that, we designed a data harmonisation pipeline and engineered a corpus of 27,979 textual descriptions simultaneously mapped to both MedDRA and SNOMED-CT,
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sourced from five publicly available datasets across biomedical and social media domains.
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