Machine learning associated with respiratory oscillometry: a computer-aided diagnosis system for the detection of respiratory abnormalities in systemic sclerosis

INTRODUCTION: The use of machine learning (ML) methods would improve the diagnosis of respiratory changes in systemic sclerosis (SSc). This paper evaluates the performance of several ML algorithms associated with the respiratory oscillometry analysis to aid in the diagnostic of respiratory changes i...

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Detalles Bibliográficos
Autores principales: Andrade, Domingos S. M., Ribeiro, Luigi Maciel, Lopes, Agnaldo J., Amaral, Jorge L. M., Melo, Pedro L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995797/
https://www.ncbi.nlm.nih.gov/pubmed/33766046
http://dx.doi.org/10.1186/s12938-021-00865-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995797/
https://www.ncbi.nlm.nih.gov/pubmed/33766046
http://dx.doi.org/10.1186/s12938-021-00865-9

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