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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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Detalhes bibliográficos
Publicado no:Pharmaceuticals (Basel)
Main Authors: Dewulf, Pieter, Stock, Michiel, De Baets, Bernard
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8147651/
https://ncbi.nlm.nih.gov/pubmed/34063324
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ph14050429
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