A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm tointerpret chest X-Rays and clinical variables

Título traducido de la contribución: A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm tointerpret chest X-Rays and clinical variables

Maria Alejandra Ruiz Cuartas (Estudiante de pregrado)
, Luis Felipe Reyes Velasco (Autor Corresponsal)
, Yuli Viviana Fuentes Barreiro (Otro Numero de Autor)
, Cristian Camilo Serrano Mayorga (Otro Numero de Autor)
, Javier Esteban Garcia Gallo (Segundo Autor)
, Alejandro Rodriguez (Otro Numero de Autor)

universidad de tarragona

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

26 Citas (Scopus)

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Terminado
Data Descriptor, Reference Coding And Characterization Of The Systemic Complications Of Critical Care Patients Included In The Isaric Covid-19 Dataset: One Of The Largest, Freely Accessible Covid-19 Datasets
Reyes Velasco, L. F. (Investigador principal), Merson, L. (Investigador), Beane, A. (Investigador), Haniffa, R. (Investigador) & Murthy, S. (Investigador)
5/07/21 → 5/07/22
Proyecto: Proyectos de Investigación

A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm tointerpret chest X-Rays and clinical variables

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Data Descriptor, Reference Coding And Characterization Of The Systemic Complications Of Critical Care Patients Included In The Isaric Covid-19 Dataset: One Of The Largest, Freely Accessible Covid-19 Datasets