Evidence to Action (E2A) 2019 highlighted the work of CEGA affiliated faculty, policy partners, and industry leaders using novel tools and methods to drive better health outcomes for people around the world. In this video, Ziad Obermeyer presents his talk titled “Diagnosing bias with machine learning.”
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