This paper is in the following e-collection/theme issue:
Artificial Intelligence (2377) Longitudinal and Cohort Studies in Public Health (443) Machine Learning (2252) Intensive Care Unit (ICU) (168) JMIR Theme Issue: COVID-19 Special Issue (2566) Theme Issue: Medical Informatics and COVID-19 (126) Early Results from COVID-19 Studies (372) Collateral Damage of the Pandemic: Excess deaths due to disruptions in healthcare and lockdowns (18) AI Applications in Public Health (37)Published on in Vol 27 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/70674, first published
.

AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients
AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients
Authors of this article:
Jose Manuel Ruiz Giardin1, 2
;
Óscar Garnica3
;
Nieves Mesa Plaza4
;
Juan Víctor SanMartín López1, 2
;
Ana Farfán Sedano4
;
Elena Madroñal Cerezo4
;
Miguel Ángel Duarte Millán4
;
Aida Izquierdo Martínez4
;
Luis Rivas4
;
Marta Rivilla4
;
Alejandro Morales Ortega4
;
Begoña Frutos Pérez4
;
Cristina De Ancos Aracil4
;
Ruth Calderón1
;
Guillermo Soria Fernandez1
;
Jorge Marrero Francés4
;
David Bernal Bello4
;
Jose Ángel Satué Bartolomé4
;
María Toledano Macías4
;
Sara Piedrabuena García4
;
Marta Guerrero Santillán4
;
Rafael Cristóbal4
;
Belen Mora4
;
Laura Velázquez Ríos4
;
Vanesa García de Viedma4
;
Paula Cuenca Ruiz1
;
Ibone Ayala Larrañaga4
;
Lorena Carpintero1
;
Celia Lara4
;
Alvaro Ricardo Llerena4
;
Virginia García Bermúdez4
;
Gema Delgado Cárdenas5
;
Paloma Pardo Rovira5
;
Elena Tejero Sánchez5
;
Maria Jesús Domínguez García5
;
Carolina Mariño6
;
Cristina Bravo6
;
Ana Ontañon6
;
Mario García6
;
Jose Ignacio Hidalgo Pérez3
;
Santiago Prieto Menchero7
;
Natalia González Pereira7
;
Sonia Gonzalo Pascua4
;
Jorge Tarancón Rey8
;
Luis Antonio Lechuga Suárez8
;
FUENCOVID9