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...

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Detalles Bibliográficos
Autores principales: Oniani, David, Jiang, Guoqian, Liu, Hongfang, Shen, Feichen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Research and Applications
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

Internet

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

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