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Additional file 1 of Deep learning for spirometry quality assurance with spirometric indices and curves

Authors :
Wang, Yimin
Li, Yicong
Chen, Wenya
Zhang, Changzheng
Liang, Lijuan
Huang, Ruibo
Liang, Jianling
Tu, Dandan
Gao, Yi
Zheng, Jinping
Zhong, Nanshan
Publication Year :
2022
Publisher :
figshare, 2022.

Abstract

Additional file 1: Appendix S1. Description of the cloud-based AI system. Appendix S2-Model development. Table S1. Visual and quantitative criteria for FEV1 and FVC acceptability and usability according to ATS/ERS 2019 standardization. Table S2. Quality rating for FEV1 and FVC according to ATS/ERS 2019 standardization. Table S3. Warning trigger and guidance for patient according to ATS/ERS 2019 standardization. Table S4. Types of abnormalities and their respective prevalence.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....a01f514239e494185ca7c975dcabf044
Full Text :
https://doi.org/10.6084/m9.figshare.19635017.v1