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

Crossref DOI link: https://doi.org/10.1186/s12938-021-00865-9

Published Online: 2021-03-25

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Andrade, Domingos S. M.

Ribeiro, Luigi Maciel

Lopes, Agnaldo J.

Amaral, Jorge L. M.

Melo, Pedro L. https://orcid.org/0000-0002-2081-6619
Funding

Funding for this research was provided by:

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
License Information

Text and Data Mining valid from 2021-03-25

Version of Record valid from 2021-03-25
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Article History

Received: 7 January 2021

Accepted: 8 March 2021

First Online: 25 March 2021

Ethics approval and consent to participate

: The Research Ethics Committee of the Pedro Ernesto University Hospital granted approval for this study and the collection and use of the data analyzed in this study.

: All authors consent for the publication of this manuscript.

: The authors declare that they have no competing interests.

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