Machine learning algorithms applied to the diagnosis of COVID-19 based on epidemiological, clinical, and laboratory data
Artificial intelligence techniques represent an efficient strategy to identify patients with high clinical suspicion, particularly in situations in which health care systems face intense strain, such as in the COVID-19 pandemic.
Authors
- Marina de Borba Oliveira Freire (ORCID: https://orcid.org/0000-0002-9307-4337)
- Fabiano Sandrini Moraes (ORCID: https://orcid.org/0000-0003-3563-9712)
- Oscar Schmitt Kremer
- Mauro André Barbosa Cunha (ORCID: https://orcid.org/0000-0001-9542-0785)
- Ricardo B. Noal
- Silvia Macedo
Institutions
- Universidade Federal de Pelotas (BR)
- Instituto Federal Sul-rio-grandense (BR)
Publication Details
- Journal
- Jornal Brasileiro de Pneumologia
- Published
- 2025-02-04
- DOI
- https://doi.org/10.36416/1806-3756/e20240385
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00