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Trabalho de evento-anais periodico
A proposal for a set of attributes relevant for Web portal data quality: the Brazilian rare disease network case (2023)
Bernardi, Filipe Andrade ; Alves, Domingos ; Neiva, Mariane Barros ; Yamada, Diego Bettiol ; Lima, Vinícius Costa ; Vinci, André; Soares, Giovane Thomazini ; Rijo, Rui Pedro Chaters Lopes ; Félix, Têmis Maria
Source: Procedia Computer Science. Conference titles: International Conference on ENTERprise Information Systems - CENTERIS. Unidades: FMRP, BIOENGENHARIA, ICMC
Subjects: DOENÇAS RARAS, SOFTWARES, WEB SITES, DESIGNS (CONFIGURAÇÕES COMBINATÓRIAS)
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ABNT
BERNARDI, Filipe Andrade et al. A proposal for a set of attributes relevant for Web portal data quality: the Brazilian rare disease network case. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.procs.2023.01.416. Acesso em: 01 nov. 2024. , 2023
APA
Bernardi, F. A., Alves, D., Neiva, M. B., Yamada, D. B., Lima, V. C., Vinci, A., et al. (2023). A proposal for a set of attributes relevant for Web portal data quality: the Brazilian rare disease network case. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1016/j.procs.2023.01.416
NLM
Bernardi FA, Alves D, Neiva MB, Yamada DB, Lima VC, Vinci A, Soares GT, Rijo RPCL, Félix TM. A proposal for a set of attributes relevant for Web portal data quality: the Brazilian rare disease network case [Internet]. Procedia Computer Science. 2023 ; 219 1316-1324.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.procs.2023.01.416
Vancouver
Bernardi FA, Alves D, Neiva MB, Yamada DB, Lima VC, Vinci A, Soares GT, Rijo RPCL, Félix TM. A proposal for a set of attributes relevant for Web portal data quality: the Brazilian rare disease network case [Internet]. Procedia Computer Science. 2023 ; 219 1316-1324.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.procs.2023.01.416
Trabalho de evento-anais periodico
Scaling laws and spatial effects of Brazilian health regions: a research protocol (2023)
Soares, Giovane Thomazini ; Yamada, Diego Bettiol ; Bernardi, Filipe Andrade ; Neiva, Mariane Barros ; Lombardi Junior, Luis Pedro; Vinci, André Luiz Teixeira ; Mioto, Ana Clara de Andrade ; Alves, Domingos
Source: Procedia Computer Science. Conference titles: International Conference on ENTERprise Information Systems - CENTERIS. Unidades: FMRP, BIOENGENHARIA, ICMC
Subjects: SAÚDE PÚBLICA, INFORMAÇÃO EM SAÚDE, PESQUISA
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ABNT
SOARES, Giovane Thomazini et al. Scaling laws and spatial effects of Brazilian health regions: a research protocol. Procedia Computer Science. Amsterdam: Elsevier BV. Disponível em: https://doi.org/10.1016/j.procs.2023.01.417. Acesso em: 01 nov. 2024. , 2023
APA
Soares, G. T., Yamada, D. B., Bernardi, F. A., Neiva, M. B., Lombardi Junior, L. P., Vinci, A. L. T., et al. (2023). Scaling laws and spatial effects of Brazilian health regions: a research protocol. Procedia Computer Science. Amsterdam: Elsevier BV. doi:10.1016/j.procs.2023.01.417
NLM
Soares GT, Yamada DB, Bernardi FA, Neiva MB, Lombardi Junior LP, Vinci ALT, Mioto AC de A, Alves D. Scaling laws and spatial effects of Brazilian health regions: a research protocol [Internet]. Procedia Computer Science. 2023 ; 219 1325-1332.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.procs.2023.01.417
Vancouver
Soares GT, Yamada DB, Bernardi FA, Neiva MB, Lombardi Junior LP, Vinci ALT, Mioto AC de A, Alves D. Scaling laws and spatial effects of Brazilian health regions: a research protocol [Internet]. Procedia Computer Science. 2023 ; 219 1325-1332.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.procs.2023.01.417
Trabalho de evento-anais periodico
Informed consent form automated validation, the brazilian rare disease network case proposal (2023)
Neiva, Mariane Barros ; Vinci, André Luiz Teixeira ; Yamada, Diego Bettiol ; Bernadi, Filipe Andrade; Soares, Giovane Thomazini; Lima, Vinícius Costa ; Alves, Domingos ; Félix, Têmis Maria
Source: Procedia Computer Science. Conference titles: International Conference on ENTERprise Information Systems - CENTERIS. Unidades: FMRP, ICMC, BIOENGENHARIA
Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS, APRENDIZADO COMPUTACIONAL, DOENÇAS RARAS
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ABNT
NEIVA, Mariane Barros et al. Informed consent form automated validation, the brazilian rare disease network case proposal. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.procs.2023.01.445. Acesso em: 01 nov. 2024. , 2023
APA
Neiva, M. B., Vinci, A. L. T., Yamada, D. B., Bernadi, F. A., Soares, G. T., Lima, V. C., et al. (2023). Informed consent form automated validation, the brazilian rare disease network case proposal. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1016/j.procs.2023.01.445
NLM
Neiva MB, Vinci ALT, Yamada DB, Bernadi FA, Soares GT, Lima VC, Alves D, Félix TM. Informed consent form automated validation, the brazilian rare disease network case proposal [Internet]. Procedia Computer Science. 2023 ; 219 1538-1545.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.procs.2023.01.445
Vancouver
Neiva MB, Vinci ALT, Yamada DB, Bernadi FA, Soares GT, Lima VC, Alves D, Félix TM. Informed consent form automated validation, the brazilian rare disease network case proposal [Internet]. Procedia Computer Science. 2023 ; 219 1538-1545.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.procs.2023.01.445
Trabalho de evento-anais periodico
National network for rare diseases in Brazil: the computational infrastructure and preliminary results (2022)
Yamada, Diego Bettiol ; Bernardi, Filipe Andrade ; Colombo Filho, Márcio Eloi ; Neiva, Mariane Barros ; Lima, Vinícius Costa ; Vinci, André Luiz Teixeira ; Oliveira, Bibiana Mello de ; Félix, Têmis Maria ; Alves, Domingos
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Science - ICCS. Unidades: FMRP, BIOENGENHARIA, ICMC
Subjects: DOENÇAS RARAS, SAÚDE PÚBLICA, PROFISSIONAIS DA SAÚDE, TECNOLOGIA DA INFORMAÇÃO, ASSISTÊNCIA AO PACIENTE (SERVIÇOS DE SAÚDE)
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ABNT
YAMADA, Diego Bettiol et al. National network for rare diseases in Brazil: the computational infrastructure and preliminary results. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08757-8_4. Acesso em: 01 nov. 2024. , 2022
APA
Yamada, D. B., Bernardi, F. A., Colombo Filho, M. E., Neiva, M. B., Lima, V. C., Vinci, A. L. T., et al. (2022). National network for rare diseases in Brazil: the computational infrastructure and preliminary results. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-08757-8_4
NLM
Yamada DB, Bernardi FA, Colombo Filho ME, Neiva MB, Lima VC, Vinci ALT, Oliveira BM de, Félix TM, Alves D. National network for rare diseases in Brazil: the computational infrastructure and preliminary results [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 43-49.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_4
Vancouver
Yamada DB, Bernardi FA, Colombo Filho ME, Neiva MB, Lima VC, Vinci ALT, Oliveira BM de, Félix TM, Alves D. National network for rare diseases in Brazil: the computational infrastructure and preliminary results [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 43-49.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_4
Trabalho de evento-anais periodico
COVID-19 BR: a web portal for COVID-19 information in Brazil (2022)
Carvalho, Isabelle ; Bernardi, Filipe Andrade ; Neiva, Mariane Barros ; Lima, Vinícius Costa ; Oliveira, Lariza Laura de; Miyoshi, Newton Shydeo Brandão; Sanches, Tiago Lara Michelin; Barbosa Junior, Francisco; Crepaldi, Nathalia Yukie ; Yamada, Diego Bettiol; Alves, Domingos
Source: Procedia Computer Science. Conference titles: International Conference on ENTERprise Information Systems - CENTERIS. Unidades: FMRP, ICMC, BIOENGENHARIA
Subjects: MINERAÇÃO DE DADOS, DESCOBERTA DE CONHECIMENTO, MODELOS MATEMÁTICOS, PANDEMIAS, COVID-19
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ABNT
CARVALHO, Isabelle et al. COVID-19 BR: a web portal for COVID-19 information in Brazil. Procedia Computer Science. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.procs.2021.12.045. Acesso em: 01 nov. 2024. , 2022
APA
Carvalho, I., Bernardi, F. A., Neiva, M. B., Lima, V. C., Oliveira, L. L. de, Miyoshi, N. S. B., et al. (2022). COVID-19 BR: a web portal for COVID-19 information in Brazil. Procedia Computer Science. Amsterdam: Elsevier. doi:10.1016/j.procs.2021.12.045
NLM
Carvalho I, Bernardi FA, Neiva MB, Lima VC, Oliveira LL de, Miyoshi NSB, Sanches TLM, Barbosa Junior F, Crepaldi NY, Yamada DB, Alves D. COVID-19 BR: a web portal for COVID-19 information in Brazil [Internet]. Procedia Computer Science. 2022 ; 196 525-532.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.procs.2021.12.045
Vancouver
Carvalho I, Bernardi FA, Neiva MB, Lima VC, Oliveira LL de, Miyoshi NSB, Sanches TLM, Barbosa Junior F, Crepaldi NY, Yamada DB, Alves D. COVID-19 BR: a web portal for COVID-19 information in Brazil [Internet]. Procedia Computer Science. 2022 ; 196 525-532.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.procs.2021.12.045
Artigo de periodico
Mapping, infrastructure, and data analysis for the brazilian network of rare diseases: protocol for the RARASnet observational cohort study (2021)
Alves, Domingos ; Yamada, Diego Bettiol ; Bernardi, Filipe Andrade ; Carvalho, Isabelle ; Colombo Filho, Márcio Eloi ; Neiva, Mariane Barros ; Lima, Vinícius Costa ; Félix, Têmis Maria
Source: JMIR Research Protocols. Unidades: FMRP, BIOENGENHARIA, ICMC
Subjects: TECNOLOGIAS DA SAÚDE, SISTEMAS DE INFORMAÇÃO, DOENÇAS RARAS
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ABNT
ALVES, Domingos et al. Mapping, infrastructure, and data analysis for the brazilian network of rare diseases: protocol for the RARASnet observational cohort study. JMIR Research Protocols, v. 10, n. Ja 2021, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.2196/24826. Acesso em: 01 nov. 2024.
APA
Alves, D., Yamada, D. B., Bernardi, F. A., Carvalho, I., Colombo Filho, M. E., Neiva, M. B., et al. (2021). Mapping, infrastructure, and data analysis for the brazilian network of rare diseases: protocol for the RARASnet observational cohort study. JMIR Research Protocols, 10( Ja 2021), 1-16. doi:10.2196/24826
NLM
Alves D, Yamada DB, Bernardi FA, Carvalho I, Colombo Filho ME, Neiva MB, Lima VC, Félix TM. Mapping, infrastructure, and data analysis for the brazilian network of rare diseases: protocol for the RARASnet observational cohort study [Internet]. JMIR Research Protocols. 2021 ; 10( Ja 2021): 1-16.[citado 2024 nov. 01 ] Available from: https://doi.org/10.2196/24826
Vancouver
Alves D, Yamada DB, Bernardi FA, Carvalho I, Colombo Filho ME, Neiva MB, Lima VC, Félix TM. Mapping, infrastructure, and data analysis for the brazilian network of rare diseases: protocol for the RARASnet observational cohort study [Internet]. JMIR Research Protocols. 2021 ; 10( Ja 2021): 1-16.[citado 2024 nov. 01 ] Available from: https://doi.org/10.2196/24826

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