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DemOpts: Fairness corrections in COVID-19 case prediction models
Nevertheless, related work has revealed under-reporting bias in COVID-19 cases as well as sampling bias in mobility data for certain minority racial and ethnic groups, which could in turn affect the fairness of the COVID-19 predictions along race labels.
Developing an Effective and Automated Patient Engagement Estimator for Telehealth: A Machine Learning Approach
We discuss MET, a learning-based algorithm proposed for perceiving a patient's level of engagement during telehealth sessions.
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