The risk of racial bias while tracking influenza-related content on social media using machine learning

ConclusionsThe models that result in the most unfair predictions may vary from dataset to dataset. Practitioners should be aware of the potential harms related to applying machine learning to health-related social media data. At a minimum, we recommend evaluating fairness along with traditional evaluation metrics.
Source: Journal of the American Medical Informatics Association - Category: Information Technology Source Type: research