EFS-XGBoost: A robust framework for precision classification of COVID-19 cases
Mustufa Haider Abidi,
Neelu Khare,
Preethi D.
et al.
Abstract:The emergence of the novel COVID-19 virus has had a profound impact on global healthcare systems and economies, underscoring the imperative need for the development of precise and expeditious diagnostic tools. Machine learning techniques have emerged as a promising avenue for augmenting the capabilities of medical professionals in disease diagnosis and classification. In this research, the EFS-XGBoost classifier model, a robust approach for the classification of patients afflicted with COVID-19 is proposed. Th… Show more
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