ERS Respiratory Channel

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• Contact your network administrator : Inform them of this restriction so they can adjust the network settings accordingly.

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References

Kocks JWH, Cao H, Holzhauer B, Kaplan A, FitzGerald JM, Kostikas K, Price D, Reddel HK, Tsiligianni I, Vogelmeier CF, Bostel S, Mastoridis P. Diagnostic Performance of a Machine Learning Algorithm (Asthma/Chronic Obstructive Pulmonary Disease [COPD] Differentiation Classification) Tool Versus Primary Care Physicians and Pulmonologists in Asthma, COPD, and Asthma/COPD Overlap. J Allergy Clin Immunol Pract. 2023 May;11(5):1463-1474.e3. doi: 10.1016/j.jaip.2023.01.017. Epub 2023 Jan 28. PMID: 36716998.
Potonos, D., Exarchos, K., Assioura, A., Sioutkou, A., Tatsis, K., Kyriakopoulos, C., Gogali, A., and Kostikas, K. (2023). Achievement of high-quality home spirometry in patients with asthma: The NuvoAir platform. Pneumon, 36(4), 32. https://doi.org/10.18332/pne/174605
Digital Respiratory Healthcare. Edited by Hilary Pinnock, Vitalii Poberezhets and David Drummond. ERS Monograph 2023. DOI: 10.1183/2312508X.erm10223. ISBN (electronic): 978-1-84984-173-3.
Patel N, Kinmond K, Jones P, Birks P, Spiteri MA. Validation of COPDPredict™: unique combination of remote monitoring and exacerbation prediction to support preventative management of COPD exacerbations. International journal of chronic obstructive pulmonary disease. 2021 Jun 21:1887-99.
Lanclus M, Clukers J, Van Holsbeke C, Vos W, Leemans G, Holbrechts B, Barboza K, De Backer W, De Backer J. Machine learning algorithms utilizing functional respiratory imaging may predict COPD exacerbations. Academic radiology. 2019 Sep 1;26(9):1191-9.
Kaplan A, Cao H, FitzGerald JM, Iannotti N, Yang E, Kocks JW, Kostikas K, Price D, Reddel HK, Tsiligianni I, Vogelmeier CF. Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis. The Journal of Allergy and Clinical Immunology: In Practice. 2021 Jun 1;9(6):2255-61.

References

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