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Detecting early safety signals of infliximab using machine learning algorithms in the Korea adverse event reporting system
There has been a growing attention on using machine learning (ML) in pharmacovigilance. This study aimed to investigate the utility of supervised ML algorithms on timely detection of safety signals in the Korea Adverse Event Reporting System (KAERS), using infliximab as a case drug, between 2009 and...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436954/ https://www.ncbi.nlm.nih.gov/pubmed/36050484 http://dx.doi.org/10.1038/s41598-022-18522-z |