Using random forest machine learning on data from a large, representative cohort of the general population improves clinical spirometry references

INTRODUCTION: Spirometry is associated with several diagnostic difficulties, and as a result, misdiagnosis of chronic obstructive pulmonary disease (COPD) occurs. This study aims to investigate how random forest (RF) can be used to improve the existing clinical FVC and FEV1 reference values in a lar...

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Detalles Bibliográficos
Autores principales: Kristensen, Kris, Olesen, Pernille H., Roerbaek, Anna K., Nielsen, Louise, Hansen, Helle K., Cichosz, Simon L., Jensen, Morten H., Hejlesen, Ole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Letters to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435934/
https://www.ncbi.nlm.nih.gov/pubmed/37448113
http://dx.doi.org/10.1111/crj.13662

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435934/
https://www.ncbi.nlm.nih.gov/pubmed/37448113
http://dx.doi.org/10.1111/crj.13662

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