The importance of association of comorbidities on COVID-19 outcomes: a machine learning approach.

José Carlos Arévalo-LoridoJuana Carretero-GómezJose Manuel Casas-RojoJuan Miguel Antón-SantosJosé Antonio Melero-BermejoMaria Dolores López-CarmonaLidia Cobos PalaciosJaime Sanz-CánovasPaula Maria Pesqueira-FontánAndrés Alberto de la Peña-FernándezNavas-Maria de la Sierra AlcántaraGema Maria García-GarcíaJosé David Torres PeñaJeffrey Oskar Magallanes-GamboaRosa Fernández-Madera-MartinezJavier Fernández-FernándezManuel Rubio-RivasGuillermo Maestro-de la CalleEva Cervilla-MuñozAntonio Ramos-MartínezManuel Méndez-BailónJose-Manuel Ramos-Rincón Ricardo Gómez Huelgasnull null

Published in: Current medical research and opinion (2022)

The interplay of several comorbidities may affect the outcome and complications of inpatients with COVID-19.

Keyphrases

coronavirus disease
sars cov
machine learning
respiratory syndrome coronavirus
artificial intelligence
type diabetes
deep learning
adipose tissue
weight loss