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...

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Detalles Bibliográficos
Autores principales: Lee, Jeong-Eun, Kim, Ju Hwan, Bae, Ji-Hwan, Song, Inmyung, Shin, Ju-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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