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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...
Gorde:
| Argitaratua izan da: | Pharmaceuticals (Basel) |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI
2021
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| Gaiak: | |
| Sarrera elektronikoa: | 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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