ReP USP - Resultado da busca

Trabalho de evento-anais periodico
Knowledge discovery in databases: comorbidities in tuberculosis cases (2022)
Carvalho, Isabelle ; Neiva, Mariane Barros ; Miyoshi, Newton Shydeo Brandão ; Crepaldi, Nathalia Yukie ; Bernardi, Filipe Andrade ; Lima, Vinícius Costa ; Santos, Ketlin Fabri dos ; Mioto, Ana Clara de Andrade ; Mozini, Mariana Tavares ; Galliez, Rafael Mello ; Sanchez, Mauro Niskier ; Kritski, Afrânio Lineu ; Alves, Domingos
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Science - ICCS. Unidades: FMRP, ICMC, BIOENGENHARIA
Subjects: COMORBIDADE, TUBERCULOSE, SAÚDE PÚBLICA, DESCOBERTA DE CONHECIMENTO, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Isabelle et al. Knowledge discovery in databases: comorbidities in tuberculosis cases. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08757-8_1. Acesso em: 08 nov. 2024. , 2022
APA
Carvalho, I., Neiva, M. B., Miyoshi, N. S. B., Crepaldi, N. Y., Bernardi, F. A., Lima, V. C., et al. (2022). Knowledge discovery in databases: comorbidities in tuberculosis cases. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-08757-8_1
NLM
Carvalho I, Neiva MB, Miyoshi NSB, Crepaldi NY, Bernardi FA, Lima VC, Santos KF dos, Mioto AC de A, Mozini MT, Galliez RM, Sanchez MN, Kritski AL, Alves D. Knowledge discovery in databases: comorbidities in tuberculosis cases [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 3-13.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_1
Vancouver
Carvalho I, Neiva MB, Miyoshi NSB, Crepaldi NY, Bernardi FA, Lima VC, Santos KF dos, Mioto AC de A, Mozini MT, Galliez RM, Sanchez MN, Kritski AL, Alves D. Knowledge discovery in databases: comorbidities in tuberculosis cases [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 3-13.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_1
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 08 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. 08 ] 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. 08 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.2196/24826
Artigo de periodico
Brazil: the emerging epicenter of COVID-19 pandemic (2020)
Neiva, Mariane Barros ; Carvalho, Isabelle ; Costa Filho, Etevaldo dos Santos ; Barbosa Junior, Francisco; Bernardi, Filipe Andrade ; Sanches, Tiago Lara Michelin ; Oliveira, Lariza Laura de ; Lima, Vinícius Costa ; Miyoshi, Newton Shydeo Brandão ; Alves, Domingos
Source: Revista da Sociedade Brasileira de Medicina Tropical = Journal of the Brazilian Society of Tropical Medicine. Unidades: FMRP, ICMC, IFSC, BIOENGENHARIA
Subjects: SURTOS DE DOENÇAS, CORONAVIRUS, MODELOS EPIDEMIOLOGICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NEIVA, Mariane Barros et al. Brazil: the emerging epicenter of COVID-19 pandemic. Revista da Sociedade Brasileira de Medicina Tropical = Journal of the Brazilian Society of Tropical Medicine, v. 53, p. 1-8, 2020Tradução . . Disponível em: https://doi.org/10.1590/0037-8682-0550-2020. Acesso em: 08 nov. 2024.
APA
Neiva, M. B., Carvalho, I., Costa Filho, E. dos S., Barbosa Junior, F., Bernardi, F. A., Sanches, T. L. M., et al. (2020). Brazil: the emerging epicenter of COVID-19 pandemic. Revista da Sociedade Brasileira de Medicina Tropical = Journal of the Brazilian Society of Tropical Medicine, 53, 1-8. doi:10.1590/0037-8682-0550-2020
NLM
Neiva MB, Carvalho I, Costa Filho E dos S, Barbosa Junior F, Bernardi FA, Sanches TLM, Oliveira LL de, Lima VC, Miyoshi NSB, Alves D. Brazil: the emerging epicenter of COVID-19 pandemic [Internet]. Revista da Sociedade Brasileira de Medicina Tropical = Journal of the Brazilian Society of Tropical Medicine. 2020 ; 53 1-8.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1590/0037-8682-0550-2020
Vancouver
Neiva MB, Carvalho I, Costa Filho E dos S, Barbosa Junior F, Bernardi FA, Sanches TLM, Oliveira LL de, Lima VC, Miyoshi NSB, Alves D. Brazil: the emerging epicenter of COVID-19 pandemic [Internet]. Revista da Sociedade Brasileira de Medicina Tropical = Journal of the Brazilian Society of Tropical Medicine. 2020 ; 53 1-8.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1590/0037-8682-0550-2020
Trabalho de evento-anais periodico
A tool to support the clinical decision based on risk of death in hospital admissions (2019)
Carvalho, Isabelle ; Lima, Vinícius Costa ; Rocha, Juan Stuardo Yazlle ; Alves, Domingos
Source: Procedia Computer Science. Conference titles: International Conference on Enterprise Information Systems - CENTERIS. Unidades: FMRP, ICMC, BIOENGENHARIA
Subjects: TECNOLOGIAS DA SAÚDE, COMORBIDADE, SISTEMAS DE APOIO À DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Isabelle et al. A tool to support the clinical decision based on risk of death in hospital admissions. Procedia Computer Science. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.procs.2019.12.222. Acesso em: 08 nov. 2024. , 2019
APA
Carvalho, I., Lima, V. C., Rocha, J. S. Y., & Alves, D. (2019). A tool to support the clinical decision based on risk of death in hospital admissions. Procedia Computer Science. Amsterdam: Elsevier. doi:10.1016/j.procs.2019.12.222
NLM
Carvalho I, Lima VC, Rocha JSY, Alves D. A tool to support the clinical decision based on risk of death in hospital admissions [Internet]. Procedia Computer Science. 2019 ; 164 573-580.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.procs.2019.12.222
Vancouver
Carvalho I, Lima VC, Rocha JSY, Alves D. A tool to support the clinical decision based on risk of death in hospital admissions [Internet]. Procedia Computer Science. 2019 ; 164 573-580.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.procs.2019.12.222
Trabalho de evento-anais periodico
Proposal of an integrated decision support system for tuberculosis based on semantic web (2019)
Lima, Vinícius Costa ; Pellison, Felipe Carvalho ; Bernardi, Filipe Andrade ; Carvalho, Isabelle ; Rijo, Rui Pedro Chaters Lopes ; Alves, Domingos
Source: Procedia Computer Science. Conference titles: International Conference on Enterprise Information Systems - CENTERIS. Unidades: FMRP, BIOENGENHARIA, ICMC
Subjects: TECNOLOGIAS DA SAÚDE, SISTEMAS DE APOIO À DECISÃO, WEB SEMÂNTICA, VIGILÂNCIA EPIDEMIOLÓGICA, TUBERCULOSE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Vinícius Costa et al. Proposal of an integrated decision support system for tuberculosis based on semantic web. Procedia Computer Science. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.procs.2019.12.219. Acesso em: 08 nov. 2024. , 2019
APA
Lima, V. C., Pellison, F. C., Bernardi, F. A., Carvalho, I., Rijo, R. P. C. L., & Alves, D. (2019). Proposal of an integrated decision support system for tuberculosis based on semantic web. Procedia Computer Science. Amsterdam: Elsevier. doi:10.1016/j.procs.2019.12.219
NLM
Lima VC, Pellison FC, Bernardi FA, Carvalho I, Rijo RPCL, Alves D. Proposal of an integrated decision support system for tuberculosis based on semantic web [Internet]. Procedia Computer Science. 2019 ; 164 552-558.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.procs.2019.12.219
Vancouver
Lima VC, Pellison FC, Bernardi FA, Carvalho I, Rijo RPCL, Alves D. Proposal of an integrated decision support system for tuberculosis based on semantic web [Internet]. Procedia Computer Science. 2019 ; 164 552-558.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.procs.2019.12.219

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