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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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| Publicado no: | BMC Med Inform Decis Mak |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7285491/ https://ncbi.nlm.nih.gov/pubmed/32517759 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-020-01131-z |
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