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

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

Abstract 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 relations...

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Bibliographic Details
Main Authors: Laura Kinkead, Ahmed Allam, Michael Krauthammer
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Information quality
Natural language processing
Neural networks
Health communication
Online Access:http://link.springer.com/article/10.1186/s12911-020-01131-z

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http://link.springer.com/article/10.1186/s12911-020-01131-z

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