Cold-Start Problems in Data-Driven Prediction of Drug–Drug Interaction Effects

Combining drugs, a phenomenon often referred to as polypharmacy, can induce additional adverse effects. The identification of adverse combinations is a key task in pharmacovigilance. In this context, in silico approaches based on machine learning are promising as they can learn from a limited number...

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Detalles Bibliográficos
Autores principales: Dewulf, Pieter, Stock, Michiel, De Baets, Bernard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147651/
https://www.ncbi.nlm.nih.gov/pubmed/34063324
http://dx.doi.org/10.3390/ph14050429

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147651/
https://www.ncbi.nlm.nih.gov/pubmed/34063324
http://dx.doi.org/10.3390/ph14050429

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