Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis

BACKGROUND: In this work, we developed many machine learning classifiers to assist in diagnosing respiratory changes associated with sarcoidosis, based on results from the Forced Oscillation Technique (FOT), a non-invasive method used to assess pulmonary mechanics. In addition to accurate results, t...

Descripción completa

Detalles Bibliográficos
Autores principales: de Lima, Allan Danilo, Lopes, Agnaldo J., do Amaral, Jorge Luis Machado, de Melo, Pedro Lopes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583465/
https://www.ncbi.nlm.nih.gov/pubmed/36266674
http://dx.doi.org/10.1186/s12911-022-02021-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583465/
https://www.ncbi.nlm.nih.gov/pubmed/36266674
http://dx.doi.org/10.1186/s12911-022-02021-2

Ejemplares similares