Charlson comorbidities index importance evaluation as a predictor to tuberculosis treatments outcome in the state of São Paulo, Brazil (2018)
- Authors:
- USP affiliated authors: NETTO, ANTONIO RUFFINO - FMRP ; ALVES, DOMINGOS - FMRP
- Unidade: FMRP
- DOI: 10.1016/j.procs.2018.10.037
- Assunto: TUBERCULOSE
- Keywords: Tuberculosis; Attribute selection; Bagging; Charlson comorbidities index
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Procedia Computer Science
- ISSN: 1877-0509
- Volume/Número/Paginação/Ano: v. 138, p. 258-263, 2018
- Conference titles: International Conference on Enterprise Information Systems - CENTERIS
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by-nc-nd
-
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: 19 abr. 2024. , 2018 -
APA
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.2018.10.037 -
NLM
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 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.procs.2018.10.037 -
Vancouver
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 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.procs.2018.10.037 - A free and open-source computer vision system applied to tuberculosis treatment
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Informações sobre o DOI: 10.1016/j.procs.2018.10.037 (Fonte: oaDOI API)
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