ReP USP - Resultado da busca

Parte de monografia/livro
From raw data to FAIR data: the FAIRification workflow for brazilian tuberculosis research (2023)
Bernardi, Filipe Andrade ; Lima, Vinícius; Sartoretto, Gabriel; Baiochi, João; Cassão, Victor; Kritski, Afrânio; Rijo, Rui Pedro Chaters Lopes ; Alves, Domingos
Source: Healthcare Transformation with Informatics and Artificial Intelligence. Unidades: BIOENGENHARIA, FMRP
Subjects: TUBERCULOSE, INFORMAÇÃO EM SAÚDE, ADMINISTRAÇÃO DA QUALIDADE, SISTEMAS DE INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERNARDI, Filipe Andrade et al. From raw data to FAIR data: the FAIRification workflow for brazilian tuberculosis research. Healthcare Transformation with Informatics and Artificial Intelligence. Tradução . Amsterdam: IOS Press BV, 2023. v. 305. . Disponível em: https://doi.org/10.3233/SHTI230497. Acesso em: 10 nov. 2024.
APA
Bernardi, F. A., Lima, V., Sartoretto, G., Baiochi, J., Cassão, V., Kritski, A., et al. (2023). From raw data to FAIR data: the FAIRification workflow for brazilian tuberculosis research. In Healthcare Transformation with Informatics and Artificial Intelligence (Vol. 305). Amsterdam: IOS Press BV. doi:10.3233/SHTI230497
NLM
Bernardi FA, Lima V, Sartoretto G, Baiochi J, Cassão V, Kritski A, Rijo RPCL, Alves D. From raw data to FAIR data: the FAIRification workflow for brazilian tuberculosis research [Internet]. In: Healthcare Transformation with Informatics and Artificial Intelligence. Amsterdam: IOS Press BV; 2023. [citado 2024 nov. 10 ] Available from: https://doi.org/10.3233/SHTI230497
Vancouver
Bernardi FA, Lima V, Sartoretto G, Baiochi J, Cassão V, Kritski A, Rijo RPCL, Alves D. From raw data to FAIR data: the FAIRification workflow for brazilian tuberculosis research [Internet]. In: Healthcare Transformation with Informatics and Artificial Intelligence. Amsterdam: IOS Press BV; 2023. [citado 2024 nov. 10 ] Available from: https://doi.org/10.3233/SHTI230497
Artigo de periodico
REDbox: a comprehensive semantic framework for data collection and management in tuberculosis research (2023)
Lima, Vinícius Costa ; Rijo, Rui Pedro Chaters Lopes ; Bernardi, Filipe Andrade ; Colombo Filho, Márcio Eloi ; Barbosa Junior, Francisco; Pellison, Felipe Carvalho ; Galliez, Rafael Mello ; Kritski, Afrânio Lineu ; Alves, Domingos
Source: Scientific Reports. Unidades: BIOENGENHARIA, FMRP
Subjects: TUBERCULOSE, SEMÂNTICA, COLETA DE DADOS, INTERFACE HOMEM-COMPUTADOR, PROFISSIONAIS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Vinícius Costa et al. REDbox: a comprehensive semantic framework for data collection and management in tuberculosis research. Scientific Reports, v. 13, p. 1-14, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-33492-6. Acesso em: 10 nov. 2024.
APA
Lima, V. C., Rijo, R. P. C. L., Bernardi, F. A., Colombo Filho, M. E., Barbosa Junior, F., Pellison, F. C., et al. (2023). REDbox: a comprehensive semantic framework for data collection and management in tuberculosis research. Scientific Reports, 13, 1-14. doi:10.1038/s41598-023-33492-6
NLM
Lima VC, Rijo RPCL, Bernardi FA, Colombo Filho ME, Barbosa Junior F, Pellison FC, Galliez RM, Kritski AL, Alves D. REDbox: a comprehensive semantic framework for data collection and management in tuberculosis research [Internet]. Scientific Reports. 2023 ; 13 1-14.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1038/s41598-023-33492-6
Vancouver
Lima VC, Rijo RPCL, Bernardi FA, Colombo Filho ME, Barbosa Junior F, Pellison FC, Galliez RM, Kritski AL, Alves D. REDbox: a comprehensive semantic framework for data collection and management in tuberculosis research [Internet]. Scientific Reports. 2023 ; 13 1-14.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1038/s41598-023-33492-6
Parte de monografia/livro
Development of a mobile application with health guidelines for TB patients care (2023)
Reis, Manoela Barreto de Oliveira; Bernardi, Filipe Andrade ; Lima, Vinícius; Alves, Domingos
Source: Healthcare Transformation with Informatics and Artificial Intelligence. Unidades: FMRP, BIOENGENHARIA
Subjects: TUBERCULOSE, DIRETRIZES PARA O PLANEJAMENTO EM SAÚDE, APLICATIVOS MÓVEIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
REIS, Manoela Barreto de Oliveira et al. Development of a mobile application with health guidelines for TB patients care. Healthcare Transformation with Informatics and Artificial Intelligence. Tradução . Amsterdam: IOS Press BV, 2023. v. 305. . Disponível em: https://doi.org/10.3233/SHTI230509. Acesso em: 10 nov. 2024.
APA
Reis, M. B. de O., Bernardi, F. A., Lima, V., & Alves, D. (2023). Development of a mobile application with health guidelines for TB patients care. In Healthcare Transformation with Informatics and Artificial Intelligence (Vol. 305). Amsterdam: IOS Press BV. doi:10.3233/SHTI230509
NLM
Reis MB de O, Bernardi FA, Lima V, Alves D. Development of a mobile application with health guidelines for TB patients care [Internet]. In: Healthcare Transformation with Informatics and Artificial Intelligence. Amsterdam: IOS Press BV; 2023. [citado 2024 nov. 10 ] Available from: https://doi.org/10.3233/SHTI230509
Vancouver
Reis MB de O, Bernardi FA, Lima V, Alves D. Development of a mobile application with health guidelines for TB patients care [Internet]. In: Healthcare Transformation with Informatics and Artificial Intelligence. Amsterdam: IOS Press BV; 2023. [citado 2024 nov. 10 ] Available from: https://doi.org/10.3233/SHTI230509
Parte de monografia/livro
A computational infrastructure for analyzing tuberculosis research data in Brazil (2023)
Mozini, Mariana Tavares ; Bernardi, Filipe Andrade ; Mioto, Ana Clara de Andrade ; Cassão, Victor; Kritski, Afrânio; Alves, Domingos
Source: Healthcare Transformation with Informatics and Artificial Intelligence. Unidades: FMRP, BIOENGENHARIA
Subjects: TUBERCULOSE, INTERNET, EPIDEMIOLOGIA, COLETA DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOZINI, Mariana Tavares et al. A computational infrastructure for analyzing tuberculosis research data in Brazil. Healthcare Transformation with Informatics and Artificial Intelligence. Tradução . Amsterdam: IOS Press BV, 2023. v. 305. . Disponível em: https://doi.org/10.3233/SHTI230557. Acesso em: 10 nov. 2024.
APA
Mozini, M. T., Bernardi, F. A., Mioto, A. C. de A., Cassão, V., Kritski, A., & Alves, D. (2023). A computational infrastructure for analyzing tuberculosis research data in Brazil. In Healthcare Transformation with Informatics and Artificial Intelligence (Vol. 305). Amsterdam: IOS Press BV. doi:10.3233/SHTI230557
NLM
Mozini MT, Bernardi FA, Mioto AC de A, Cassão V, Kritski A, Alves D. A computational infrastructure for analyzing tuberculosis research data in Brazil [Internet]. In: Healthcare Transformation with Informatics and Artificial Intelligence. Amsterdam: IOS Press BV; 2023. [citado 2024 nov. 10 ] Available from: https://doi.org/10.3233/SHTI230557
Vancouver
Mozini MT, Bernardi FA, Mioto AC de A, Cassão V, Kritski A, Alves D. A computational infrastructure for analyzing tuberculosis research data in Brazil [Internet]. In: Healthcare Transformation with Informatics and Artificial Intelligence. Amsterdam: IOS Press BV; 2023. [citado 2024 nov. 10 ] Available from: https://doi.org/10.3233/SHTI230557
Trabalho de evento-anais periodico
An information system for monitoring tuberculosis cases: implementation research protocol using RE-AIM for a health region in Brazil (2023)
Crepaldi, Nathalia Yukie ; Lima, Vinícius Costa ; Bernardi, Filipe Andrade ; Alves, Domingos
Source: Procedia Computer Science. Conference titles: International Conference on ENTERprise Information Systems - CENTERIS. Unidades: FMRP, BIOENGENHARIA
Subjects: TUBERCULOSE, SISTEMAS DE INFORMAÇÃO, TECNOLOGIAS DA SAÚDE, CONTROLE DE DOENÇAS TRANSMISSÍVEIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CREPALDI, Nathalia Yukie et al. An information system for monitoring tuberculosis cases: implementation research protocol using RE-AIM for a health region in Brazil. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.procs.2023.01.393. Acesso em: 10 nov. 2024. , 2023
APA
Crepaldi, N. Y., Lima, V. C., Bernardi, F. A., & Alves, D. (2023). An information system for monitoring tuberculosis cases: implementation research protocol using RE-AIM for a health region in Brazil. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1016/j.procs.2023.01.393
NLM
Crepaldi NY, Lima VC, Bernardi FA, Alves D. An information system for monitoring tuberculosis cases: implementation research protocol using RE-AIM for a health region in Brazil [Internet]. Procedia Computer Science. 2023 ; 219 1128-1135.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.procs.2023.01.393
Vancouver
Crepaldi NY, Lima VC, Bernardi FA, Alves D. An information system for monitoring tuberculosis cases: implementation research protocol using RE-AIM for a health region in Brazil [Internet]. Procedia Computer Science. 2023 ; 219 1128-1135.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.procs.2023.01.393
Artigo de periodico
Clinical pathways and hierarchical clustering for tuberculosis treatment outcome prediction (2023)
Yamaguti, Verena Hokino ; Freitas, Alberto; Apunike, Anderson Chidi; Rijo, Rui Pedro Charters Lopes; Alves, Domingos ; Netto, Antonio Ruffino
Source: Procedia Computer Science. Unidades: FMRP, BIOENGENHARIA
Subjects: TUBERCULOSE, SAÚDE PÚBLICA, APRENDIZADO COMPUTACIONAL, REGISTROS MÉDICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YAMAGUTI, Verena Hokino et al. Clinical pathways and hierarchical clustering for tuberculosis treatment outcome prediction. Procedia Computer Science, v. 219, p. 1373-1379, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.procs.2023.01.425. Acesso em: 10 nov. 2024.
APA
Yamaguti, V. H., Freitas, A., Apunike, A. C., Rijo, R. P. C. L., Alves, D., & Netto, A. R. (2023). Clinical pathways and hierarchical clustering for tuberculosis treatment outcome prediction. Procedia Computer Science, 219, 1373-1379. doi:10.1016/j.procs.2023.01.425
NLM
Yamaguti VH, Freitas A, Apunike AC, Rijo RPCL, Alves D, Netto AR. Clinical pathways and hierarchical clustering for tuberculosis treatment outcome prediction [Internet]. Procedia Computer Science. 2023 ; 219 1373-1379.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.procs.2023.01.425
Vancouver
Yamaguti VH, Freitas A, Apunike AC, Rijo RPCL, Alves D, Netto AR. Clinical pathways and hierarchical clustering for tuberculosis treatment outcome prediction [Internet]. Procedia Computer Science. 2023 ; 219 1373-1379.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.procs.2023.01.425
Trabalho de evento-anais periodico
Preliminary results to predict tuberculosis outcomes applying traditional and automated machine learning models (2023)
Mioto, Ana Clara de Andrade ; Mozini, Mariana Tavares ; Segamarchi, Renan Barbieri; Soares, Giovane Thomazini ; Martins, Pedro Emilio Andrade; Cassão, Victor; Ferrassini, Luís Gustavo Barichello; Miyoshi, Newton Shydeo Brandão ; Alves, Domingos ; Oliveira, Lariza Laura de
Source: Procedia Computer Science. Conference titles: International Conference on ENTERprise Information Systems - CENTERIS. Unidades: FMRP, BIOENGENHARIA
Subjects: TUBERCULOSE, APRENDIZADO COMPUTACIONAL, PLANOS E PROGRAMAS DE SAÚDE, INFORMAÇÃO EM SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIOTO, Ana Clara de Andrade et al. Preliminary results to predict tuberculosis outcomes applying traditional and automated machine learning models. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.procs.2023.01.424. Acesso em: 10 nov. 2024. , 2023
APA
Mioto, A. C. de A., Mozini, M. T., Segamarchi, R. B., Soares, G. T., Martins, P. E. A., Cassão, V., et al. (2023). Preliminary results to predict tuberculosis outcomes applying traditional and automated machine learning models. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1016/j.procs.2023.01.424
NLM
Mioto AC de A, Mozini MT, Segamarchi RB, Soares GT, Martins PEA, Cassão V, Ferrassini LGB, Miyoshi NSB, Alves D, Oliveira LL de. Preliminary results to predict tuberculosis outcomes applying traditional and automated machine learning models [Internet]. Procedia Computer Science. 2023 ; 219 1365-1372.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.procs.2023.01.424
Vancouver
Mioto AC de A, Mozini MT, Segamarchi RB, Soares GT, Martins PEA, Cassão V, Ferrassini LGB, Miyoshi NSB, Alves D, Oliveira LL de. Preliminary results to predict tuberculosis outcomes applying traditional and automated machine learning models [Internet]. Procedia Computer Science. 2023 ; 219 1365-1372.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.procs.2023.01.424

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