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: 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
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
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: 31 mar. 2026. , 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 2026 mar. 31 ] 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 2026 mar. 31 ] Available from: https://doi.org/10.1016/j.procs.2018.10.037 - Protocol of studies for the development of a platform for registration of medical images through smartphone: the case auto-administration of medication in the application of DOTS in tuberculosis
- Proposal for the development of a mobile virtual assistant for treatment of tuberculosis
- A free and open-source computer vision system applied to tuberculosis treatment
- Satisfaction evaluation of health professionals in the usability of software for monitoring the tuberculosis treatment
- Data quality in tuberculosis: the case study of two ambulatories in the state of São Paulo, Brazil
- Towards a clinical trial protocol to evaluate health information systems: evaluation of a computerized system for monitoring tuberculosis from a patient perspective in Brazil
- Sistema informatizado para controle de pacientes de Tuberculose em tratamento
- A dynamical modeling to study the adaptive immune system and the influence of antibodies in the immune memory
- Development and validation of a pharmacoeconomic tool for decision making in the implementation of pharmaceutical care for hypertensive patients in the Brazilian public health system (SUS)
- Proposal of a gold standard database model of adverse drug reactions reports
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