Listar Ciencias Exactas y Naturales por autor "Ávila, Eduardo Muller"
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Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets
Dorn, Márcio; Grisci, Bruno Iochins; Narloch, Pedro Henrique; Feltes, Bruno César; Ávila, Eduardo Muller; Kahmann, Alessandro; Alho, Clarice Sampaio (2021) [Artículo de periódico]The Coronavirus pandemic caused by the novel SARS-CoV-2 has significantly impacted human health and the economy, especially in countries struggling with financial resources for medical testing and treatment, such as Brazil’s ... -
Hemogram data as a tool for decision-making in COVID-19 management : applications to resource scarcity scenarios
Ávila, Eduardo Muller; Kahmann, Alessandro; Alho, Clarice Sampaio; Dorn, Márcio (2020) [Artículo de periódico]Background COVID-19 pandemics has challenged emergency response systems worldwide, with widespread reports of essential services breakdown and collapse of health care structure. A critical element involves essential workforce ...