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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| 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 |