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Machine Learning for COVID-19 and Influenza Classification during Coexisting Outbreaks

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By Álvaro Sobrinho, Angelo Perkusich, Leandro Dias da
| MDPI
4. Results and Discussion The COVID-19 and influenza datasets were merged to form a unified dataset for implementing the models. As mentioned in Section 2, the numbers 0 and 1 indicated positive and negative cases of COVID-19, while 2 and 3 indicated positive and negative cases of influenza. The balanced RT-PCR datasets contained 916 instances for each class, the rapid test datasets contained 646 instances for each class, and both tests combined included 1564 instances for each class.
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