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AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks

BACKGROUND: Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional. Low quality health information, which is common on the internet, presents risks to the patient in the form of misinformation and a possibly poorer relationship with...

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Detalles Bibliográficos
Autores principales: Kinkead, Laura, Allam, Ahmed, Krauthammer, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285491/
https://www.ncbi.nlm.nih.gov/pubmed/32517759
http://dx.doi.org/10.1186/s12911-020-01131-z