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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...
Autores principales: | Liu, Zhiyuan, Gao, Ximing, Li, Chenyu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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