Decision trees for early prediction of inadequate immune response to coronavirus infections: a pilot study on COVID-19

INTRODUCTION: Few artificial intelligence models exist to predict severe forms of COVID-19. Most rely on post-infection laboratory data, hindering early treatment for high-risk individuals. METHODS: This study developed a machine learning model to predict inherent risk of severe symptoms after contr...

Descripción completa

Detalles Bibliográficos
Autores principales: Pisano, Fabio, Cannas, Barbara, Fanni, Alessandra, Pasella, Manuela, Canetto, Beatrice, Giglio, Sabrina Rita, Mocci, Stefano, Chessa, Luchino, Perra, Andrea, Littera, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433226/
https://www.ncbi.nlm.nih.gov/pubmed/37601789
http://dx.doi.org/10.3389/fmed.2023.1230733

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433226/
https://www.ncbi.nlm.nih.gov/pubmed/37601789
http://dx.doi.org/10.3389/fmed.2023.1230733

Ejemplares similares