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Artigo de periodico
Development of CART model for prediction of tuberculosis treatment loss to follow up in the state of São Paulo, Brazil: a case–control study (2020)
Yamaguti, Verena Hokino ; Alves, Domingos ; Rijo, Rui Pedro Charters Lopes; Miyoshi, Newton Shydeo Brandão; Ruffino Netto, Antônio
Source: International Journal of Medical Informatics. Unidades: FMRP, BIOENGENHARIA
Subjects: TUBERCULOSE, EPIDEMIOLOGIA, ESTUDOS DE CASOS E CONTROLES, QUIMIOTERAPIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YAMAGUTI, Verena Hokino et al. Development of CART model for prediction of tuberculosis treatment loss to follow up in the state of São Paulo, Brazil: a case–control study. International Journal of Medical Informatics, v. 141, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ijmedinf.2020.104198. Acesso em: 08 nov. 2024.
APA
Yamaguti, V. H., Alves, D., Rijo, R. P. C. L., Miyoshi, N. S. B., & Ruffino Netto, A. (2020). Development of CART model for prediction of tuberculosis treatment loss to follow up in the state of São Paulo, Brazil: a case–control study. International Journal of Medical Informatics, 141. doi:10.1016/j.ijmedinf.2020.104198
NLM
Yamaguti VH, Alves D, Rijo RPCL, Miyoshi NSB, Ruffino Netto A. Development of CART model for prediction of tuberculosis treatment loss to follow up in the state of São Paulo, Brazil: a case–control study [Internet]. International Journal of Medical Informatics. 2020 ; 141[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.ijmedinf.2020.104198
Vancouver
Yamaguti VH, Alves D, Rijo RPCL, Miyoshi NSB, Ruffino Netto A. Development of CART model for prediction of tuberculosis treatment loss to follow up in the state of São Paulo, Brazil: a case–control study [Internet]. International Journal of Medical Informatics. 2020 ; 141[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.ijmedinf.2020.104198
Trabalho de evento-anais periodico
TBM-App: a clinical decision support system for tuberculous meningitis (2019)
Santos, Luiz Ricardo Albano dos ; Anselmo, Livia Maria Pala ; Oliveira, Lucas Santos de; Merli, Fernanda Sacardo ; Silva, Carla Calsonari ; Prado, Gabriela Cristina Silva ; Crepaldi, Nathalia Yukie ; Bernardi, Filipe Andrade ; Marçal, Matheus Angerami; Ruffino Netto, Antônio ; Rijo, Rui Pedro Chaters Lopes ; Bollela, Valdes Roberto ; Alves, Domingos
Source: Procedia Computer Science. Conference titles: International Conference on Enterprise Information Systems - CENTERIS. Unidades: FMRP, BIOENGENHARIA
Subjects: MENINGITE, TUBERCULOSE, SISTEMAS DE INFORMAÇÃO, SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Luiz Ricardo Albano dos et al. TBM-App: a clinical decision support system for tuberculous meningitis. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.procs.2019.12.221. Acesso em: 08 nov. 2024. , 2019
APA
Santos, L. R. A. dos, Anselmo, L. M. P., Oliveira, L. S. de, Merli, F. S., Silva, C. C., Prado, G. C. S., et al. (2019). TBM-App: a clinical decision support system for tuberculous meningitis. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1016/j.procs.2019.12.221
NLM
Santos LRA dos, Anselmo LMP, Oliveira LS de, Merli FS, Silva CC, Prado GCS, Crepaldi NY, Bernardi FA, Marçal MA, Ruffino Netto A, Rijo RPCL, Bollela VR, Alves D. TBM-App: a clinical decision support system for tuberculous meningitis [Internet]. Procedia Computer Science. 2019 ; 164 565-572.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.procs.2019.12.221
Vancouver
Santos LRA dos, Anselmo LMP, Oliveira LS de, Merli FS, Silva CC, Prado GCS, Crepaldi NY, Bernardi FA, Marçal MA, Ruffino Netto A, Rijo RPCL, Bollela VR, Alves D. TBM-App: a clinical decision support system for tuberculous meningitis [Internet]. Procedia Computer Science. 2019 ; 164 565-572.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.procs.2019.12.221
Trabalho de evento-anais periodico
SISTB: an ecosystem for monitoring TB (2019)
Crepaldi, Nathalia Yukie ; Lima, Vinícius Costa ; Bernardi, Filipe Andrade ; Santos, Luiz Ricardo Albano dos ; Yamaguti, Verena Hokino ; Pellison, Felipe Carvalho ; Sanches, Tiago Lara Michelin ; Miyoshi, Newton Shydeo Brandão ; Ruffino Netto, Antônio ; Rijo, Rui Pedro Chaters Lopes ; Alves, Domingos
Source: Procedia Computer Science. Conference titles: International Conference on Enterprise Information Systems - CENTERIS. Unidades: FMRP, BIOENGENHARIA
Subjects: MENINGITE, TUBERCULOSE, SISTEMAS DE INFORMAÇÃO, SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CREPALDI, Nathalia Yukie et al. SISTB: an ecosystem for monitoring TB. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.procs.2019.12.224. Acesso em: 08 nov. 2024. , 2019
APA
Crepaldi, N. Y., Lima, V. C., Bernardi, F. A., Santos, L. R. A. dos, Yamaguti, V. H., Pellison, F. C., et al. (2019). SISTB: an ecosystem for monitoring TB. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1016/j.procs.2019.12.224
NLM
Crepaldi NY, Lima VC, Bernardi FA, Santos LRA dos, Yamaguti VH, Pellison FC, Sanches TLM, Miyoshi NSB, Ruffino Netto A, Rijo RPCL, Alves D. SISTB: an ecosystem for monitoring TB [Internet]. Procedia Computer Science. 2019 ; 164 587-594.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.procs.2019.12.224
Vancouver
Crepaldi NY, Lima VC, Bernardi FA, Santos LRA dos, Yamaguti VH, Pellison FC, Sanches TLM, Miyoshi NSB, Ruffino Netto A, Rijo RPCL, Alves D. SISTB: an ecosystem for monitoring TB [Internet]. Procedia Computer Science. 2019 ; 164 587-594.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.procs.2019.12.224
Trabalho de evento-anais periodico
The perception of health providers about an artificial intelligence applied to Tuberculosis video-based treatment in Brazil: a protocol proposal (2019)
Santos, Luiz Ricardo Albano dos ; Bernardi, Filipe Andrade ; Prado, Gabriela Cristina Silva ; Lima, Vinícius Costa ; Crepaldi, Nathalia Yukie ; Marçal, Matheus Angerami; Rijo, Rui Pedro Chaters Lopes ; Galliez, Rafael Mello ; Ruffino Netto, Antônio ; Alves, Domingos
Source: Procedia Computer Science. Conference titles: International Conference on Enterprise Information Systems - CENTERIS. Unidades: FMRP, BIOENGENHARIA
Subjects: INTELIGÊNCIA ARTIFICIAL, TUBERCULOSE, SISTEMAS DE INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Luiz Ricardo Albano dos et al. The perception of health providers about an artificial intelligence applied to Tuberculosis video-based treatment in Brazil: a protocol proposal. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.procs.2019.12.225. Acesso em: 08 nov. 2024. , 2019
APA
Santos, L. R. A. dos, Bernardi, F. A., Prado, G. C. S., Lima, V. C., Crepaldi, N. Y., Marçal, M. A., et al. (2019). The perception of health providers about an artificial intelligence applied to Tuberculosis video-based treatment in Brazil: a protocol proposal. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1016/j.procs.2019.12.225
NLM
Santos LRA dos, Bernardi FA, Prado GCS, Lima VC, Crepaldi NY, Marçal MA, Rijo RPCL, Galliez RM, Ruffino Netto A, Alves D. The perception of health providers about an artificial intelligence applied to Tuberculosis video-based treatment in Brazil: a protocol proposal [Internet]. Procedia Computer Science. 2019 ; 164 595-601.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.procs.2019.12.225
Vancouver
Santos LRA dos, Bernardi FA, Prado GCS, Lima VC, Crepaldi NY, Marçal MA, Rijo RPCL, Galliez RM, Ruffino Netto A, Alves D. The perception of health providers about an artificial intelligence applied to Tuberculosis video-based treatment in Brazil: a protocol proposal [Internet]. Procedia Computer Science. 2019 ; 164 595-601.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.procs.2019.12.225

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