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...

Full description

Saved in:
Bibliographic Details
Published in:Int J Chron Obstruct Pulmon Dis
Main Authors: Cavailles, Arnaud, Melloni, Boris, Motola, Stéphane, Dayde, Florent, Laurent, Marie, Le Lay, Katell, Caumette, Didier, Luciani, Laura, Lleu, Pierre Louis, Berthon, Geoffrey, Flament, Thomas
Format: Artigo
Language:Inglês
Published: Dove 2020
Subjects:
Original Research
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7198446/
https://ncbi.nlm.nih.gov/pubmed/32431495
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/COPD.S236787
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items