Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning (2023)
- Authors:
- USP affiliated authors: RODRIGUES, FRANCISCO APARECIDO - ICMC ; PINEDA, ARUANE MELLO - ICMC ; ALVES, CAROLINE LOURENÇO - ICMC ; PORTO, JOEL AUGUSTO MOURA - IFSC
- Unidades: ICMC; IFSC
- DOI: 10.1093/comnet/cnad030
- Subjects: TECNOLOGIAS DA SAÚDE; APRENDIZADO COMPUTACIONAL; REDES COMPLEXAS; RECONHECIMENTO DE IMAGEM; DIAGNÓSTICO POR COMPUTADOR; DOENÇAS VASCULARES
- Keywords: Electrocardiogram; Time Series; Network measures; Complex networks; Machine learning; Deep learning
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Complex Networks
- ISSN: 2051-1310
- Volume/Número/Paginação/Ano: v. 11, n. 5, p. cnad030-1-cnad030-21, Oct. 2023
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
PINEDA, Aruane Mello et al. Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning. Journal of Complex Networks, v. 11, n. 5, p. cnad030-1-cnad030-21, 2023Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnad030. Acesso em: 11 fev. 2026. -
APA
Pineda, A. M., Rodrigues, F. A., Alves, C. L., Möckel, M., Oliveira, T. G. L. de, & Porto, J. A. M. (2023). Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning. Journal of Complex Networks, 11( 5), cnad030-1-cnad030-21. doi:10.1093/comnet/cnad030 -
NLM
Pineda AM, Rodrigues FA, Alves CL, Möckel M, Oliveira TGL de, Porto JAM. Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning [Internet]. Journal of Complex Networks. 2023 ; 11( 5): cnad030-1-cnad030-21.[citado 2026 fev. 11 ] Available from: https://doi.org/10.1093/comnet/cnad030 -
Vancouver
Pineda AM, Rodrigues FA, Alves CL, Möckel M, Oliveira TGL de, Porto JAM. Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning [Internet]. Journal of Complex Networks. 2023 ; 11( 5): cnad030-1-cnad030-21.[citado 2026 fev. 11 ] Available from: https://doi.org/10.1093/comnet/cnad030 - Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia
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Informações sobre o DOI: 10.1093/comnet/cnad030 (Fonte: oaDOI API)
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