Fonte: Procedia Computer Science. Nome do evento: International Conference on Enterprise Information Systems - CENTERIS. Unidade: FMRP
Assunto: TUBERCULOSE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YAMAGUTI, Verena Hokino et al. Charlson comorbidities index importance evaluation as a predictor to tuberculosis treatments outcome in the state of São Paulo, Brazil. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.procs.2018.10.037. Acesso em: 23 nov. 2025. , 2018APA
Yamaguti, V. H., Lopes Rijo, R. P. C., Crepaldi, N. Y., Ruffino Netto, A., Carvalho, I., & Alves, D. (2018). Charlson comorbidities index importance evaluation as a predictor to tuberculosis treatments outcome in the state of São Paulo, Brazil. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1016/j.procs.2018.10.037NLM
Yamaguti VH, Lopes Rijo RPC, Crepaldi NY, Ruffino Netto A, Carvalho I, Alves D. Charlson comorbidities index importance evaluation as a predictor to tuberculosis treatments outcome in the state of São Paulo, Brazil [Internet]. Procedia Computer Science. 2018 ; 138 258-263.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1016/j.procs.2018.10.037Vancouver
Yamaguti VH, Lopes Rijo RPC, Crepaldi NY, Ruffino Netto A, Carvalho I, Alves D. Charlson comorbidities index importance evaluation as a predictor to tuberculosis treatments outcome in the state of São Paulo, Brazil [Internet]. Procedia Computer Science. 2018 ; 138 258-263.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1016/j.procs.2018.10.037
