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Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation
BACKGROUND: Scientists are developing new computational methods and prediction models to better clinically understand COVID-19 prevalence, treatment efficacy, and patient outcomes. These efforts could be improved by leveraging documented COVID-19–related symptoms, findings, and disorders from clinic...
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| Pubblicato in: | JMIR Med Inform |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
JMIR Publications
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7901592/ https://ncbi.nlm.nih.gov/pubmed/33544689 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/21679 |
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