Cargando…
Area under the expiratory flow-volume curve: predicted values by artificial neural networks
Area under expiratory flow-volume curve (AEX) has been proposed recently to be a useful spirometric tool for assessing ventilatory patterns and impairment severity. We derive here normative reference values for AEX, based on age, gender, race, height and weight, and by using artificial neural networ...
Autores principales: | Ioachimescu, Octavian C., Stoller, James K., Garcia-Rio, Francisco |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538954/ https://www.ncbi.nlm.nih.gov/pubmed/33024243 http://dx.doi.org/10.1038/s41598-020-73925-0 |
Ejemplares similares
-
An Alternative Spirometric Measurement. Area under the Expiratory Flow–Volume Curve
por: Ioachimescu, Octavian C., et al.
Publicado: (2020) -
Area Under the Expiratory Flow–Volume Curve (AEX): Assessing Bronchodilator Responsiveness
por: Ioachimescu, Octavian C., et al.
Publicado: (2020) -
Area under the expiratory flow-volume curve: normative values in the National Health and Nutrition Survey (NHANES) study
por: Ioachimescu, Octavian C, et al.
Publicado: (2022) -
Area under the expiratory flow-volume curve: predicted values by regression and deep learning methods and recommendations for clinical practice
por: Ioachimescu, Octavian C, et al.
Publicado: (2021) -
Assessing small airway disease in GLI versus NHANES III based spirometry using area under the expiratory flow-volume curve
por: Ioachimescu, Octavian C, et al.
Publicado: (2019)