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Medical Information Extraction Model for User-generated Content

INTRODUCTION: The number of social network users is on the rise, and the size of the user-generated contents is increasing as well. Analyzing the generated contents can lead to the attainment of a vast amount of information, such as users’ feelings on specific products or events, or personal informa...

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Detalles Bibliográficos
Autor principal:	Alsheref, Fahad Kamal
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Academy of Medical sciences 2019
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853723/ https://www.ncbi.nlm.nih.gov/pubmed/31762577 http://dx.doi.org/10.5455/aim.2019.27.192-198

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