Data mining methodology for response to hypertension symptomology—application to COVID-19-related pharmacovigilance

BACKGROUND: Potential therapy and confounding factors including typical co‐administered medications, patient’s disease states, disease prevalence, patient demographics, medical histories, and reasons for prescribing a drug often are incomplete, conflicting, missing, or uncharacterized in spontaneous...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Xuan, Kawakami, Jessica, Millagaha Gedara, Nuwan Indika, Riviere, Jim E, Meyer, Emma, Wyckoff, Gerald J, Jaberi-Douraki, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754433/
https://www.ncbi.nlm.nih.gov/pubmed/34812146
http://dx.doi.org/10.7554/eLife.70734

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754433/
https://www.ncbi.nlm.nih.gov/pubmed/34812146
http://dx.doi.org/10.7554/eLife.70734

Ejemplares similares