Prospective study using artificial neural networks for identification of high-risk COVID-19 patients
Abstract The COVID-19 pandemic caused a major public health crisis, with severe impacts on global health and the economy. Machine learning (ML) has been crucial in developing new technologies to address challenges posed by the pandemic, particularly in identifying high-risk COVID-19 patients. This i...
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| Main Authors: | Mateo Frausto-Avila, Roberto de J. León-Montiel, Mario A. Quiroz-Juárez, Alfred B. U’Ren |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00925-3 |
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