EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia (2022)
- Authors:
- USP affiliated authors: RODRIGUES, FRANCISCO APARECIDO - ICMC ; ALVES, CAROLINE LOURENÇO - ICMC ; PINEDA, ARUANE MELLO - ICMC ; ROSTER, KIRSTIN INGRID - ICMC
- Unidade: ICMC
- DOI: 10.1088/2632-072X/ac5f8d
- Subjects: TRANSTORNOS MENTAIS; ALGORITMOS; APRENDIZADO COMPUTACIONAL; REDES NEURAIS
- Keywords: cortical networks; machine learning; complex network; complex systems; deep learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Physics: Complexity
- ISSN: 2632-072X
- Volume/Número/Paginação/Ano: v. 3, n. 2, p. 1-13, 2022
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
ALVES, Caroline Lourenço et al. EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia. Journal of Physics: Complexity, v. 3, n. 2, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac5f8d. Acesso em: 24 abr. 2024. -
APA
Alves, C. L., Pineda, A. M., Roster, K., Thielemann, C., & Rodrigues, F. A. (2022). EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia. Journal of Physics: Complexity, 3( 2), 1-13. doi:10.1088/2632-072X/ac5f8d -
NLM
Alves CL, Pineda AM, Roster K, Thielemann C, Rodrigues FA. EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia [Internet]. Journal of Physics: Complexity. 2022 ; 3( 2): 1-13.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1088/2632-072X/ac5f8d -
Vancouver
Alves CL, Pineda AM, Roster K, Thielemann C, Rodrigues FA. EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia [Internet]. Journal of Physics: Complexity. 2022 ; 3( 2): 1-13.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1088/2632-072X/ac5f8d - Diagnosis of autism spectrum disorder based on functional brain networks and machine learning
- Application of machine learning and complex network measures to an EEG dataset from ayahuasca 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
- Revisiting the involvement of tau in complex neural network remodeling: analysis of the extracellular neuronal activity in organotypic brain slice co-cultures
- Diagnosis of neurological diseases based on data mining and complex network
- Machine-learning-based forecasting of dengue fever in Brazilian cities using epidemiologic and meteorological variables
- Complex networks to differentiate elderly and young people
- Machine learning-based prediction of Q-voter model in complex networks
- Forecasting new diseases in low-data settings using transfer learning
Informações sobre o DOI: 10.1088/2632-072X/ac5f8d (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | 3073800.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
