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

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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Bibliographic Details
Main Authors: Paresh C. Giri, Anand M. Chowdhury, Armando Bedoya, Hengji Chen, Hyun Suk Lee, Patty Lee, Craig Henriquez, Neil R. MacIntyre, Yuh-Chin T. Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Physiology
Subjects:
pulmonary function test
flow-volume loop
machine learning
artificial intelligence
spirometry
lung volumes
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2021.678540/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2021.678540/full

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