Identification of Patient Profiles with High Risk of Hospital Re-Admissions for Acute COPD Exacerbations (AECOPD) in France Using a Machine Learning Model

PURPOSE: To characterise patients with chronic obstructive pulmonary disease (COPD) who are rehospitalised for an acute exacerbation, to estimate the cost of these hospitalisations, to characterise high risk patient sub groups and to identify factors potentially associated with the risk of rehospita...

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Detalles Bibliográficos
Autores principales: Cavailles, Arnaud, Melloni, Boris, Motola, Stéphane, Dayde, Florent, Laurent, Marie, Le Lay, Katell, Caumette, Didier, Luciani, Laura, Lleu, Pierre Louis, Berthon, Geoffrey, Flament, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198446/
https://www.ncbi.nlm.nih.gov/pubmed/32431495
http://dx.doi.org/10.2147/COPD.S236787

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198446/
https://www.ncbi.nlm.nih.gov/pubmed/32431495
http://dx.doi.org/10.2147/COPD.S236787

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