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

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 volume in 1 second (FEV(1)) and forced vital capacity (FVC). We hypothesize that discarded submaximal and QC-failing da...

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Detalles Bibliográficos
Autores principales: Hill, Davin, Torop, Max, Masoomi, Aria, Castaldi, Peter J., Silverman, Edwin K., Bodduluri, Sandeep, Bhatt, Surya P., Yun, Taedong, McLean, Cory Y., Hormozdiari, Farhad, Dy, Jennifer, Cho, Michael H., Hobbs, Brian D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168495/
https://www.ncbi.nlm.nih.gov/pubmed/37162978
http://dx.doi.org/10.1101/2023.04.28.23289178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168495/
https://www.ncbi.nlm.nih.gov/pubmed/37162978
http://dx.doi.org/10.1101/2023.04.28.23289178

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