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Rodríguez A, Gómez J, Martín-Loeches I, Claverias L, Díaz E, Zaragoza R, Borges-Sa M, Gómez-Bertomeu F, Franquet Á, Trefler S, et al. A Machine Learning Approach to Determine Risk Factors for Respiratory Bacterial/Fungal Coinfection in Critically Ill Patients with Influenza and SARS-CoV-2 Infection: A Spanish Perspective. Antibiotics. 2024; 13(10):968. https://doi.org/10.3390/antibiotics13100968

Rodríguez, Alejandro, Josep Gómez, Ignacio Martín-Loeches, Laura Claverias, Emili Díaz, Rafael Zaragoza, Marcio Borges-Sa, Frederic Gómez-Bertomeu, Álvaro Franquet, Sandra Trefler, and et al. 2024. "A Machine Learning Approach to Determine Risk Factors for Respiratory Bacterial/Fungal Coinfection in Critically Ill Patients with Influenza and SARS-CoV-2 Infection: A Spanish Perspective" Antibiotics 13, no. 10: 968. https://doi.org/10.3390/antibiotics13100968

Rodríguez, A., Gómez, J., Martín-Loeches, I., Claverias, L., Díaz, E., Zaragoza, R., Borges-Sa, M., Gómez-Bertomeu, F., Franquet, Á., Trefler, S., González Garzón, C., Cortés, L., Alés, F., Sancho, S., Solé-Violán, J., Estella, Á., Berrueta, J., García-Martínez, A., Suberviola, B., ... Bodí, M., on behalf of GETGAG/COVID-19 SEMICYUC Working Group. (2024). A Machine Learning Approach to Determine Risk Factors for Respiratory Bacterial/Fungal Coinfection in Critically Ill Patients with Influenza and SARS-CoV-2 Infection: A Spanish Perspective. Antibiotics, 13(10), 968. https://doi.org/10.3390/antibiotics13100968