Análisis de Datos COVID-19 Utilizando Algoritmos de Inteligencia Artificial

The COVID-19 pandemic has markedly catalyzed the advancement of innovative tools. With the aim of crafting resilient predictive models, an extensive training process has been executed to anticipate the risk of mortality or survival associated with the categories of moderate/severe hospitalization and critical patient cases. Clinical Relevance—Metabolites can play a significant role in mitigating the complications associated with COVID-19 and can also contribute to a better understanding of the molecular mechanisms involved in the development of prolonged symptoms caused by SARS-CoV-2 infection