Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis
| dc.contributor.author | Kaplan, Alan | |
| dc.contributor.author | Cao, Hui | |
| dc.contributor.author | FitzGerald, J Mark | |
| dc.contributor.author | Iannotti, Nick | |
| dc.contributor.author | Yang, Eric | |
| dc.contributor.author | Kocks, Janwillem W H | |
| dc.contributor.author | Kostikas, Konstantinos | |
| dc.contributor.author | Price, David | |
| dc.contributor.author | Reddel, Helen K | |
| dc.contributor.author | Tsiligianni, Ioanna | |
| dc.contributor.author | Vogelmeier, Claus F | |
| dc.contributor.author | Pfister, Pascal | |
| dc.contributor.author | Mastoridis, Paul | |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Institute of Applied Health Sciences | en |
| dc.date.accessioned | 2021-09-28T14:54:01Z | |
| dc.date.available | 2021-09-28T14:54:01Z | |
| dc.date.issued | 2021-06 | |
| dc.description | Acknowledgments We thank Ian Wright, PhD, of Novartis Ireland Ltd, for providing medical writing support in accordance with Good Publication Practice (GPP3) guidelines (http://www.ismpp.org/gpp3).63 | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 7 | |
| dc.format.extent | 308137 | |
| dc.identifier | 188077524 | |
| dc.identifier | eb9b7f72-8e46-41ef-8a29-dfe87867fb4a | |
| dc.identifier | 33618053 | |
| dc.identifier | 33618053 | |
| dc.identifier | 85102487576 | |
| dc.identifier.citation | 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', The Journal of Allergy and Clinical Immunology: In Practice, vol. 9, no. 6, pp. 2255-2261. https://doi.org/10.1016/j.jaip.2021.02.014 | en |
| dc.identifier.doi | 10.1016/j.jaip.2021.02.014 | |
| dc.identifier.iss | 6 | en |
| dc.identifier.issn | 2213-2198 | |
| dc.identifier.other | unpaywall: 10.1016/j.jaip.2021.02.014 | |
| dc.identifier.uri | https://hdl.handle.net/2164/17192 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85102487576&partnerID=8YFLogxK | en |
| dc.identifier.vol | 9 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | The Journal of Allergy and Clinical Immunology: In Practice | en |
| dc.subject | SDG 3 - Good Health and Well-being | en |
| dc.subject | Artificial intelligence | en |
| dc.subject | Asthma | en |
| dc.subject | COPD | en |
| dc.subject | Diagnosis | en |
| dc.subject | Machine learning | en |
| dc.subject | Respiratory disease | en |
| dc.subject | R Medicine | en |
| dc.subject | Immunology and Allergy | en |
| dc.subject.lcc | R | en |
| dc.title | Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis | en |
| dc.type | Journal article | en |
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