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

Laura KinkeadAhmed AllamMichael Krauthammer

Published in: BMC medical informatics and decision making (2020)

Our research suggests that it is feasible to automate online health information quality assessment, which is an important step towards empowering patients to become informed partners in the healthcare process.

Keyphrases

health information
social media
healthcare
neural network
end stage renal disease
ejection fraction
newly diagnosed
prognostic factors
peritoneal dialysis
patient reported outcomes
health insurance