Can routine laboratory variables predict survival in COVID-19? An artificial neural network-based approach

Santos Lozano, AlejandroCalvo Boyero, FernandoLópez Jiménez, AnaCueto Felgueroso, CeciliaCastillo García, AdriánValenzuela Ruiz, Pedro LuisArenas, JoaquínLucía Mulas, AlejandroMartín Casanueva, Miguel ÁngelCOVID-19 Hospital ’12 Octubre’ Clinical Biochemisty Study Group2020-10-162020-10-162020Santos-Lozano, A., Calvo-Boyero, F., López-Jiménez, A., Cueto-Felgueroso, C., Castillo-García, A., Valenzuela, P. L., Arenas, J., Lucía Mulas, A., & Martín, M. A. (2020). Can routine laboratory variables predict survival in COVID-19? An artificial neural network-based approach. Clinical Chemistry and Laboratory Medicine (CCLM), 58(12), e299-e302. https://doi.org/10.1515/cclm-2020-07301434-66211437-4331http://hdl.handle.net/11268/9151engCan routine laboratory variables predict survival in COVID-19? An artificial neural network-based approachjournal article10.1515/cclm-2020-0730open accessCOVID-19Redes neuronales artificialesLaboratorios de ensayoVirologíaInteligencia artificialLaboratorio de investigación