Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets

Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets

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 case, the third most affected country by the pandemic. In this scenario, ma...

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Bibliographic Details
Main Authors: Marcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, Bruno César Feltes, Eduardo Avila, Alessandro Kahmann, Clarice Sampaio Alho
Format: Article
Language:English
Published: PeerJ Inc. 2021-08-01
Series:PeerJ Computer Science
Subjects:
Machine learning
Data mining
Imbalanced datasets
Covid
Hemogram
Online Access:https://peerj.com/articles/cs-670.pdf

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https://peerj.com/articles/cs-670.pdf

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