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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: 09 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. 09 ] 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. 09 ] Available from: https://doi.org/10.1016/j.procs.2023.01.425
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: 09 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. 09 ] 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. 09 ] Available from: https://doi.org/10.1016/j.ijmedinf.2020.104198
Artigo de periodico
Data integration in the Brazilian public health system for tuberculosis: use of the semantic web to establish interoperability (2020)
Pellison, Felipe Carvalho ; Rijo, Rui Pedro Chaters Lopes; Lima, Vinícius Costa ; Crepaldi, Nathalia Yukie ; Bernardi, Filipe Andrade ; Galliez, Rafael Mello; Kritski, Afrânio Lineu; Abhishek, Kumar; Alves, Domingos
Source: JMIR Medical Informatics. Unidades: FMRP, BIOENGENHARIA
Subjects: SISTEMAS DE INFORMAÇÃO, SAÚDE, TUBERCULOSE, ONTOLOGIA, INTEROPERABILIDADE, REGISTROS MÉDICOS, WEB SEMÂNTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PELLISON, Felipe Carvalho et al. Data integration in the Brazilian public health system for tuberculosis: use of the semantic web to establish interoperability. JMIR Medical Informatics, v. 8, n. 7, 2020Tradução . . Disponível em: https://doi.org/10.2196/17176. Acesso em: 09 nov. 2024.
APA
Pellison, F. C., Rijo, R. P. C. L., Lima, V. C., Crepaldi, N. Y., Bernardi, F. A., Galliez, R. M., et al. (2020). Data integration in the Brazilian public health system for tuberculosis: use of the semantic web to establish interoperability. JMIR Medical Informatics, 8( 7). doi:10.2196/17176
NLM
Pellison FC, Rijo RPCL, Lima VC, Crepaldi NY, Bernardi FA, Galliez RM, Kritski AL, Abhishek K, Alves D. Data integration in the Brazilian public health system for tuberculosis: use of the semantic web to establish interoperability [Internet]. JMIR Medical Informatics. 2020 ; 8( 7):[citado 2024 nov. 09 ] Available from: https://doi.org/10.2196/17176
Vancouver
Pellison FC, Rijo RPCL, Lima VC, Crepaldi NY, Bernardi FA, Galliez RM, Kritski AL, Abhishek K, Alves D. Data integration in the Brazilian public health system for tuberculosis: use of the semantic web to establish interoperability [Internet]. JMIR Medical Informatics. 2020 ; 8( 7):[citado 2024 nov. 09 ] Available from: https://doi.org/10.2196/17176

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