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Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis

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(1)University of Groningen. Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis Kaplan, Alan; Cao, Hui; FitzGerald, J Mark; Iannotti, Nick; Yang, Eric; Kocks, Janwillem W H; Kostikas, Konstantinos; Price, David; Reddel, Helen K; Tsiligianni, Ioanna Published in: Journal of Allergy and Clinical Immunology: In Practice DOI: 10.1016/j.jaip.2021.02.014 IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.. Document Version Version created as part of publication process; publisher's layout; not normally made publicly available. Publication date: 2021 Link to publication in University of Groningen/UMCG research database. Citation for published version (APA): Kaplan, A., Cao, H., FitzGerald, J. M., Iannotti, N., Yang, E., Kocks, J. W. H., Kostikas, K., Price, D., Reddel, H. K., Tsiligianni, I., Vogelmeier, C. F., Pfister, P., & Mastoridis, P. (2021). Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis. Journal of Allergy and Clinical Immunology: In Practice. https://doi.org/10.1016/j.jaip.2021.02.014. Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum.. Download date: 23-06-2021.

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