Modeling COVID-19 Vaccine Adverse Effects with a Visualized Knowledge Graph Database

In this study, we utilized ontology and machine learning methods to analyze the current results on vaccine adverse events. With the VAERS (Vaccine Adverse Event Reporting System) Database, the side effects of COVID-19 vaccines are summarized, and a relational/graph database was implemented for furth...

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Detalles Bibliográficos
Autores principales: Liu, Zhiyuan, Gao, Ximing, Li, Chenyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407998/
https://www.ncbi.nlm.nih.gov/pubmed/36011076
http://dx.doi.org/10.3390/healthcare10081419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407998/
https://www.ncbi.nlm.nih.gov/pubmed/36011076
http://dx.doi.org/10.3390/healthcare10081419

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