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Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases
OBJECTIVE: As coronavirus disease 2019 (COVID-19) started its rapid emergence and gradually transformed into an unprecedented pandemic, the need for having a knowledge repository for the disease became crucial. To address this issue, a new COVID-19 machine-readable dataset known as the COVID-19 Open...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314034/ https://www.ncbi.nlm.nih.gov/pubmed/32458963 http://dx.doi.org/10.1093/jamia/ocaa117 |