Revealing patterns in major depressive disorder with machine learning and networks (2025)
- Authors:
- USP affiliated authors: RODRIGUES, FRANCISCO APARECIDO - ICMC ; SALLUM, LORIZ FRANCISCO - Interinstitucional de Pós-Graduação em Estatística ; PORTO, JOEL AUGUSTO MOURA - IFSC
- Unidades: ICMC; Interinstitucional de Pós-Graduação em Estatística; IFSC
- DOI: 10.1016/j.chaos.2025.116163
- Subjects: REDES COMPLEXAS; APRENDIZADO COMPUTACIONAL; APRENDIZAGEM PROFUNDA
- Keywords: Major depressive disorder; EEG; Machine learning; Complex networks
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Chaos, Solitons and Fractals
- ISSN: 0960-0779
- Volume/Número/Paginação/Ano: v. 194, p. 116163-1-116163-16, May 2025
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
SALLUM, Loriz Francisco et al. Revealing patterns in major depressive disorder with machine learning and networks. Chaos, Solitons and Fractals, v. 194, p. 116163-1-116163-16, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2025.116163. Acesso em: 31 dez. 2025. -
APA
Sallum, L. F., Alves, C. L., Toutain, T. G. L. de, Porto, J. A. M., Thielemann, C., & Rodrigues, F. A. (2025). Revealing patterns in major depressive disorder with machine learning and networks. Chaos, Solitons and Fractals, 194, 116163-1-116163-16. doi:10.1016/j.chaos.2025.116163 -
NLM
Sallum LF, Alves CL, Toutain TGL de, Porto JAM, Thielemann C, Rodrigues FA. Revealing patterns in major depressive disorder with machine learning and networks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116163-1-116163-16.[citado 2025 dez. 31 ] Available from: https://doi.org/10.1016/j.chaos.2025.116163 -
Vancouver
Sallum LF, Alves CL, Toutain TGL de, Porto JAM, Thielemann C, Rodrigues FA. Revealing patterns in major depressive disorder with machine learning and networks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116163-1-116163-16.[citado 2025 dez. 31 ] Available from: https://doi.org/10.1016/j.chaos.2025.116163 - Multiclass classification of autism spectrum disorder, attention deficit hyperactivity disorder, and typically developed individuals using fMRI functional connectivity analysis
- Dynamical patterns of EEG connectivity unveil Parkinson’s disease progression: insights from machine learning analysis
- Eletro-Oxidação de Etanol em Meio Alcalino: Cinética Complexa e Eletrocatálise
- On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments
- Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia
- Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning
- Unfolding the complexity of the global value chain: strength and entropy in the single-layer, multiplex, and multi-layer international trade networks
- On degree–degree correlations in multilayer networks
- Synchronization in clustered random networks
- Analysis of cluster explosive synchronization in complex networks
Informações sobre o DOI: 10.1016/j.chaos.2025.116163 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3238823.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
