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[HTML][HTML] Deep learning utilizing suboptimal spirometry data to improve lung function and mortality prediction in the UK Biobank

D Hill, M Torop, A Masoomi, PJ Castaldi, EK Silverman… - medRxiv - ncbi.nlm.nih.gov
Background: Spirometry measures lung function by selecting the best of multiple efforts
meeting pre-specified quality control (QC), and reporting two key metrics: forced expiratory …
被引用次数：4 相关文章

Deep Learning Utilizing Suboptimal Spirometry Data to Improve Lung Function and Mortality Prediction in the UK Biobank

D Hill, M Torop, A Masoomi, PJ Castaldi, EK Silverman… - medRxiv, 2023 - medrxiv.org
Background Spirometry measures lung function by selecting the best of multiple efforts
meeting pre-specified quality control (QC), and reporting two key metrics: forced expiratory …

Deep Learning Utilizing Suboptimal Spirometry Data to Improve Lung Function and Mortality Prediction in the UK Biobank.

D Hill, M Torop, A Masoomi, PJ Castaldi… - Medrxiv: the Preprint …, 2023 - europepmc.org
Background Spirometry measures lung function by selecting the best of multiple efforts
meeting pre-specified quality control (QC), and reporting two key metrics: forced expiratory …

Deep Learning Utilizing Suboptimal Spirometry Data to Improve Lung Function and Mortality Prediction in the UK Biobank

D Hill, M Torop, A Masoomi… - … : the preprint server …, 2023 - pubmed.ncbi.nlm.nih.gov
Background Spirometry measures lung function by selecting the best of multiple efforts
meeting pre-specified quality control (QC), and reporting two key metrics: forced expiratory …

Deep Learning Utilizing Suboptimal Spirometry Data to Improve Lung Function and Mortality Prediction in the UK Biobank

D Hill, M Torop, A Masoomi, P Castaldi, EK Silverman… - 2023 - europepmc.org
Background: Spirometry measures lung function by selecting the best of multiple efforts
meeting pre-specified quality control (QC), and reporting two key metrics: forced expiratory …