Deep learning for spirometry quality assurance with spirometric indices and curves

Deep learning for spirometry quality assurance with spirometric indices and curves

Abstract Background Spirometry quality assurance is a challenging task across levels of healthcare tiers, especially in primary care. Deep learning may serve as a support tool for enhancing spirometry quality. We aimed to develop a high accuracy and sensitive deep learning-based model aiming at assi...

Full description

Bibliographic Details
Main Authors: Yimin Wang, Yicong Li, Wenya Chen, Changzheng Zhang, Lijuan Liang, Ruibo Huang, Jianling Liang, Dandan Tu, Yi Gao, Jinping Zheng, Nanshan Zhong
Format: Article
Language:English
Published: BMC 2022-04-01
Series:Respiratory Research
Subjects:
Artificial intelligence
Deep learning
General practitioner
Quality control
Spirometry
Online Access:https://doi.org/10.1186/s12931-022-02014-9

Internet

https://doi.org/10.1186/s12931-022-02014-9

Similar Items