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Original Research
Identification of Patient Profiles with High Risk of Hospital Re-Admissions for Acute COPD Exacerbations (AECOPD) in France Using a Machine Learning Model
Arnaud Cavailles1 Service de Pneumologie, Institut du Thorax, CHU de Nantes, Nantes, France
, Boris Melloni2 Service de Pneumologie, CHU Dupuytren, Limoges, France
, Stéphane Motola3 HEVA, Lyon, France
, Florent Dayde3 HEVA, Lyon, Francehttps://orcid.org/0000-0002-9805-5864
, Marie Laurent3 HEVA, Lyon, FranceCorrespondence[email protected]
https://orcid.org/0000-0003-4971-3784
, https://orcid.org/0000-0003-4971-3784
Katell Le Lay4 HEOR/RWE, Boehringer Ingelheim, Paris, France
, Didier Caumette5 Institutional and Hospital Partnership, Boehringer Ingelheim, Paris, France
, Laura Luciani4 HEOR/RWE, Boehringer Ingelheim, Paris, France
, Pierre Louis Lleu6 Medical Affairs, Boehringer Ingelheim, Paris, France
, Geoffrey Berthon7 CHRU Tours, Tours, France
& Thomas Flament8 Service de Pneumologie, CHRU Bretonneau, Tours, France
show all
Pages 949-962
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Published online: 30 Apr 2020
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