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Machine learning prediction of side effects for drugs in clinical trials

Early and accurate detection of side effects is critical for the clinical success of drugs under development. Here, we aim to predict unknown side effects for drugs with a small number of side effects identified in randomized controlled clinical trials. Our machine learning framework, the geometric...

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Detalles Bibliográficos
Autores principales: Galeano, Diego, Paccanaro, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795366/
https://www.ncbi.nlm.nih.gov/pubmed/36590692
http://dx.doi.org/10.1016/j.crmeth.2022.100358