Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia (2023)
- Authors:
- USP affiliated authors: RODRIGUES, FRANCISCO APARECIDO - ICMC ; ALVES, CAROLINE LOURENÇO - ICMC ; PORTO, JOEL AUGUSTO MOURA - IFSC ; PINEDA, ARUANE MELLO - ICMC
- Unidades: ICMC; IFSC
- DOI: 10.1088/1741-2552/acf734
- Subjects: TECNOLOGIAS DA SAÚDE; APRENDIZADO COMPUTACIONAL; ESQUIZOFRENIA; REDES COMPLEXAS; RECONHECIMENTO DE IMAGEM; DIAGNÓSTICO POR COMPUTADOR; CÉREBRO
- Keywords: schizophrenia; fMRI; EEG; Machine learning; Deep learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Neural Engineering
- ISSN: 1741-2560
- Volume/Número/Paginação/Ano: v. 20, n. 5, p. 056025-1-056025-28, Oct. 2023
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
ALVES, Caroline Lourenço et al. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia. Journal of Neural Engineering, v. 20, n. 5, p. 056025-1-056025-28, 2023Tradução . . Disponível em: https://doi.org/10.1088/1741-2552/acf734. Acesso em: 30 dez. 2025. -
APA
Alves, C. L., Oliveira, T. G. L. de, Porto, J. A. M., Aguiar, P. M. de C., Sena, E. P. de, Rodrigues, F. A., et al. (2023). Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia. Journal of Neural Engineering, 20( 5), 056025-1-056025-28. doi:10.1088/1741-2552/acf734 -
NLM
Alves CL, Oliveira TGL de, Porto JAM, Aguiar PM de C, Sena EP de, Rodrigues FA, Pineda AM, Thielemann C. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia [Internet]. Journal of Neural Engineering. 2023 ; 20( 5): 056025-1-056025-28.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1088/1741-2552/acf734 -
Vancouver
Alves CL, Oliveira TGL de, Porto JAM, Aguiar PM de C, Sena EP de, Rodrigues FA, Pineda AM, Thielemann C. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia [Internet]. Journal of Neural Engineering. 2023 ; 20( 5): 056025-1-056025-28.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1088/1741-2552/acf734 - Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning
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Informações sobre o DOI: 10.1088/1741-2552/acf734 (Fonte: oaDOI API)
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