Signs and symptoms analysis of SARS-CoV-2 virus infection waves
DOI:
https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1339Keywords:
COVID-19, SARS-CoV-2, Machine LearningAbstract
Objective: Develop a Data Mining and Machine Learning methodology for COVID-19 diagnosis. Method: Create diagnostic models, evaluate differences in symptoms between pandemic waves. Results: Diagnose symptomatic SARS-CoV-2 infection. Conclusion: Highlight the effectiveness of the methodology in pandemic management.
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