Adverse Drug Event Prediction Using Noisy Literature-Derived Knowledge Graphs: Algorithm Development and Validation

BACKGROUND: Adverse drug events (ADEs) are unintended side effects of drugs that cause substantial clinical and economic burdens globally. Not all ADEs are discovered during clinical trials; therefore, postmarketing surveillance, called pharmacovigilance, is routinely conducted to find unknown ADEs....

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Detalles Bibliográficos
Autores principales: Dasgupta, Soham, Jayagopal, Aishwarya, Jun Hong, Abel Lim, Mariappan, Ragunathan, Rajan, Vaibhav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576589/
https://www.ncbi.nlm.nih.gov/pubmed/34694230
http://dx.doi.org/10.2196/32730

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576589/
https://www.ncbi.nlm.nih.gov/pubmed/34694230
http://dx.doi.org/10.2196/32730

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