This paper is in the following e-collection/theme issue:
Artificial Intelligence (2129) AI Applications in Public Health (30) Machine Learning (2076) Theme Issue: Medical Informatics and COVID-19 (124) JMIR Theme Issue: COVID-19 Special Issue (2554) Longitudinal and Cohort Studies in Public Health (411) Collateral Damage of the Pandemic: Excess deaths due to disruptions in healthcare and lockdowns (18) Intensive Care Unit (ICU) (160) Early Results from COVID-19 Studies (363)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