Caricamento...
Predicting adverse drug reactions through interpretable deep learning framework
BACKGROUND: Adverse drug reactions (ADRs) are unintended and harmful reactions caused by normal uses of drugs. Predicting and preventing ADRs in the early stage of the drug development pipeline can help to enhance drug safety and reduce financial costs. METHODS: In this paper, we developed machine l...
Salvato in:
| Pubblicato in: | BMC Bioinformatics |
|---|---|
| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2018
|
| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6300887/ https://ncbi.nlm.nih.gov/pubmed/30591036 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2544-0 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|