Clinical pathways and hierarchical clustering for tuberculosis treatment outcome prediction (2023)
- Authors:
- USP affiliated authors: ALVES, DOMINGOS - FMRP ; RIJO, RUI PEDRO CHARTERS LOPES - Interunidades em Bioengenharia ; NETTO, ANTONIO RUFFINO - FMRP ; YAMAGUTI, VERENA HOKINO - FMRP
- Unidades: FMRP; Interunidades em Bioengenharia
- DOI: 10.1016/j.procs.2023.01.425
- Subjects: TUBERCULOSE; SAÚDE PÚBLICA; APRENDIZADO COMPUTACIONAL; REGISTROS MÉDICOS
- Keywords: Tuberculosis; Clinical pathways; Process mining; Public health; Clustering; Machine Learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Procedia Computer Science
- ISSN: 1877-0509
- Volume/Número/Paginação/Ano: v. 219, p. 1373-1379, 2023
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
-
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: 28 dez. 2025. -
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 2025 dez. 28 ] 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 2025 dez. 28 ] Available from: https://doi.org/10.1016/j.procs.2023.01.425 - Development of CART model for prediction of tuberculosis treatment loss to follow up in the state of São Paulo, Brazil: a case–control study
- A free and open-source computer vision system applied to tuberculosis treatment
- 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
- 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
- Proposal for the development of a mobile virtual assistant for treatment of tuberculosis
- Towards a clinical trial protocol to evaluate health information systems: evaluation of a computerized system for monitoring tuberculosis from a patient perspective in Brazil
- Charlson comorbidities index importance evaluation as a predictor to tuberculosis treatments outcome in the state of São Paulo, Brazil
- Evaluation of the usability of a Telehealth system for COVID-19 according to the perception of the user professional
- Interoperability at healthcare institutions in Brazil: framework for identify maturity stages
Informações sobre o DOI: 10.1016/j.procs.2023.01.425 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
003199154.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
