Application of Machine Learning in Pulmonary Function Assessment Where Are We Now and Where Are We Going?

Analysis of pulmonary function tests (PFTs) is an area where machine learning (ML) may benefit clinicians, researchers, and the patients. PFT measures spirometry, lung volumes, and carbon monoxide diffusion capacity of the lung (DLCO). The results are usually interpreted by the clinicians using disc...

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Detaylı Bibliyografya
Asıl Yazarlar:	Paresh C. Giri, Anand M. Chowdhury, Armando Bedoya, Hengji Chen, Hyun Suk Lee, Patty Lee, Craig Henriquez, Neil R. MacIntyre, Yuh-Chin T. Huang
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Frontiers Media S.A. 2021-06-01
Seri Bilgileri:	Frontiers in Physiology
Konular:	pulmonary function test flow-volume loop machine learning artificial intelligence spirometry lung volumes
Online Erişim:	https://www.frontiersin.org/articles/10.3389/fphys.2021.678540/full
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Application of Machine Learning in Pulmonary Function Assessment Where Are We Now and Where Are We Going?

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