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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...

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Detalles Bibliográficos
Autores principales:	Huang, Jhih-Yuan, Lee, Wei-Po, Lee, King-Der
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
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

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