Ontology-Based Classification and Analysis of Adverse Events Associated With the Usage of Chloroquine and Hydroxychloroquine

Multiple methodologies have been developed to identify and predict adverse events (AEs); however, many of these methods do not consider how patient population characteristics, such as diseases, age, and gender, affect AEs seen. In this study, we evaluated the utility of collecting and analyzing AE d...

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Detalles Bibliográficos
Autores principales: Ngai, Jamie, Kalter, Madison, Byrd, James Brian, Racz, Rebecca, He, Yongqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983871/
https://www.ncbi.nlm.nih.gov/pubmed/35401219
http://dx.doi.org/10.3389/fphar.2022.812338

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983871/
https://www.ncbi.nlm.nih.gov/pubmed/35401219
http://dx.doi.org/10.3389/fphar.2022.812338

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