A Machine Learning Approach to Predict the Rehabilitation Outcome in Convalescent COVID-19 Patients

Background: After the acute disease, convalescent coronavirus disease 2019 (COVID-19) patients may experience several persistent manifestations that require multidisciplinary pulmonary rehabilitation (PR). By using a machine learning (ML) approach, we aimed to evaluate the clinical characteristics p...

Descripción completa

Detalles Bibliográficos
Autores principales: Adamo, Sarah, Ambrosino, Pasquale, Ricciardi, Carlo, Accardo, Mariasofia, Mosella, Marco, Cesarelli, Mario, d’Addio, Giovanni, Maniscalco, Mauro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953386/
https://www.ncbi.nlm.nih.gov/pubmed/35330328
http://dx.doi.org/10.3390/jpm12030328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953386/
https://www.ncbi.nlm.nih.gov/pubmed/35330328
http://dx.doi.org/10.3390/jpm12030328

Ejemplares similares