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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| 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 |