Open Access<p>Identification of Patient Profiles with High Risk of Hospital Re-Admissions for Acute COPD Exacerbations (AECOPD) in France Using a Machine Learning Model</p>
Author(s) -
Arnaud Cavaillès,
B. Melloni,
Stéphane Motola,
F. Daydé,
Marie Laurent,
K Le Lay,
D. Caumette,
Laura Llull,
Pierre Louis Lleu,
Geoffrey Berthon,
Thomas Flament
Publication year - 2020
Publication title -
international journal of chronic obstructive pulmonary disease/international journal of copd
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 67
eISSN - 1178-2005
pISSN - 1176-9106
DOI - 10.2147/copd.s236787
Subject(s) - medicine , copd , identification (biology) , emergency medicine , intensive care medicine , biology , botany
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 rehospitalisation.