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Predicting Adverse Drug Reactions from Social Media Posts: Data Balance, Feature Selection and Deep Learning
Social forums offer a lot of new channels for collecting patients’ opinions to construct predictive models of adverse drug reactions (ADRs) for post-marketing surveillance. However, due to the characteristics of social posts, there are many challenges still to be solved when deriving such models, ma...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024774/ https://www.ncbi.nlm.nih.gov/pubmed/35455795 http://dx.doi.org/10.3390/healthcare10040618 |