Machine learning algorithms applied to the diagnosis of COVID-19 based on epidemiological, clinical, and laboratory data

Machine learning algorithms applied to the diagnosis of COVID-19 based on epidemiological, clinical, and laboratory data

ABSTRACT Objective: To predict COVID-19 in hospitalized patients with SARS in a city in southern Brazil by using machine learning algorithms. Methods: The study sample consisted of patients ≥ 18 years of age admitted to the emergency department with SARS and hospitalized in the Hospital Escola - U...

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Bibliographic Details
Main Authors: Silvia Elaine Cardozo Macedo, Marina de Borba Oliveira Freire, Oscar Schmitt Kremer, Ricardo Bica Noal, Fabiano Sandrini Moraes, Mauro André Barbosa Cunha
Format: Article
Language:English
Published: Sociedade Brasileira de Pneumologia e Tisiologia 2025-03-01
Series:Jornal Brasileiro de Pneumologia
Subjects:
COVID-19/diagnosis
Artificial intelligence
Machine learning
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-37132025000100604&lng=en&tlng=en
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