Pattern recognition in SARS cases: insights from t-SNE and k-means clustering applied to COVID-19 symptomatology
The analysis is crucial, as Brazil was one of the countries most severely affected by the pandemic, experiencing profound impacts across multiple dimensions.
Authors
- Márjory Da Costa‐Abreu (ORCID: https://orcid.org/0000-0001-7461-7570)
- Luiz Affonso Guedes (ORCID: https://orcid.org/0000-0003-2690-1563)
- Bruno M. Carvalho (ORCID: https://orcid.org/0000-0002-9122-0257)
- Julliana Gonçalves Marques (ORCID: https://orcid.org/0000-0002-0740-1136)
Institutions
- Universidade Federal do Rio Grande do Norte (BR)
- Sheffield Hallam University (GB)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-03-27
- DOI
- https://doi.org/10.3389/frai.2025.1536486
- Primary Topic
- Advanced Clustering Algorithms Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Universidade Federal do Rio Grande do Norte