Journal of Asthma and Allergy
Volume 15, 2022 - Issue
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ORIGINAL RESEARCH
A Predictive Machine Learning Tool for Asthma Exacerbations: Results from a 12-Week, Open-Label Study Using an Electronic Multi-Dose Dry Powder Inhaler with Integrated Sensors
Njira L Lugogo1 Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI, USACorrespondence[email protected]
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Michael DePietro2 Teva Branded Pharmaceutical Products R&D Inc, Parsippany, NJ, USA
https://orcid.org/0000-0002-8729-2530View further author information
Michael Reich3 Teva Pharmaceutical Industries Ltd, Tel Aviv, IsraelView further author information
, Rajan Merchant4 Woodland Clinic Medical Group, Allergy Department, Dignity Health, Woodland, CA, USAView further author information
, Henry Chrystyn5 Inhalation Consultancy Ltd, Leeds, UKView further author information
, Roy Pleasants6 Population Health, University of Michigan, Ann Arbor, MI and Division of Pulmonary Disease and Critical Care Medicine, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC, USAView further author information
, Lena Granovsky3 Teva Pharmaceutical Industries Ltd, Tel Aviv, IsraelView further author information
, Thomas Li2 Teva Branded Pharmaceutical Products R&D Inc, Parsippany, NJ, USAView further author information
, Tanisha Hill2 Teva Branded Pharmaceutical Products R&D Inc, Parsippany, NJ, USAView further author information
, Randall W Brown2 Teva Branded Pharmaceutical Products R&D Inc, Parsippany, NJ, USAView further author information
& Guilherme Safioti7 Teva Pharmaceuticals Europe B.V, Amsterdam, the NetherlandsView further author information
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Pages 1623-1637
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Received 09 Jul 2022, Accepted 02 Nov 2022, Published online: 11 Nov 2022
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