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We present an agent-based model combined with machine learning to simulate how vaccine distribution strategies affect COVID infections in a community with populations of different races.
Most hospitals match patient data manually, and computer programs achieve about 90% accuracy. We have developed a machine learning algorithm to automatically match patients with 95% accuracy.
This app provides the ability to transcend linguistic barriers that prevent people from accessing vital drugs abroad.
