A computational infrastructure for analyzing tuberculosis research data in Brazil (2023)
- Authors:
- USP affiliated authors: ALVES, DOMINGOS - FMRP ; MOZINI, MARIANA TAVARES - FMRP ; BERNARDI, FILIPE ANDRADE - Interunidades em Bioengenharia ; MIOTO, ANA CLARA DE ANDRADE - Interunidades em Bioengenharia ; CASSÃO, VICTOR - Interunidades em Bioengenharia
- Unidades: FMRP; Interunidades em Bioengenharia
- DOI: 10.3233/SHTI230557
- Subjects: TUBERCULOSE; INTERNET; EPIDEMIOLOGIA; COLETA DE DADOS
- Keywords: Data Science; Research data; Tuberculosis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IOS Press BV
- Publisher place: Amsterdam
- Date published: 2023
- Source:
- Título: Healthcare Transformation with Informatics and Artificial Intelligence
- ISSN: 9781643684000
- Volume/Número/Paginação/Ano: v. 305, 673p
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
MOZINI, Mariana Tavares et al. A computational infrastructure for analyzing tuberculosis research data in Brazil. Healthcare Transformation with Informatics and Artificial Intelligence. Tradução . Amsterdam: IOS Press BV, 2023. v. 305. . Disponível em: https://doi.org/10.3233/SHTI230557. Acesso em: 11 fev. 2026. -
APA
Mozini, M. T., Bernardi, F. A., Mioto, A. C. de A., Cassão, V., Kritski, A., & Alves, D. (2023). A computational infrastructure for analyzing tuberculosis research data in Brazil. In Healthcare Transformation with Informatics and Artificial Intelligence (Vol. 305). Amsterdam: IOS Press BV. doi:10.3233/SHTI230557 -
NLM
Mozini MT, Bernardi FA, Mioto AC de A, Cassão V, Kritski A, Alves D. A computational infrastructure for analyzing tuberculosis research data in Brazil [Internet]. In: Healthcare Transformation with Informatics and Artificial Intelligence. Amsterdam: IOS Press BV; 2023. [citado 2026 fev. 11 ] Available from: https://doi.org/10.3233/SHTI230557 -
Vancouver
Mozini MT, Bernardi FA, Mioto AC de A, Cassão V, Kritski A, Alves D. A computational infrastructure for analyzing tuberculosis research data in Brazil [Internet]. In: Healthcare Transformation with Informatics and Artificial Intelligence. Amsterdam: IOS Press BV; 2023. [citado 2026 fev. 11 ] Available from: https://doi.org/10.3233/SHTI230557 - Unsupervised analysis of COVID-19 pandemic evolution in brazilian states: vaccination scenario
- Unsupervised analysis of COVID-19 pandemic evolution in brazilian states
- OUTB: application for decision-support in the outcomes of Tuberculosis
- From raw data to FAIR data: the FAIRification workflow for brazilian tuberculosis research
- Unsupervised K-means analysis of tuberculosis data in Brazil: identifying high prevalence states and temporal trends
- Preliminary results to predict tuberculosis outcomes applying traditional and automated machine learning models
- SISTB: a health information system for the management of tuberculosis cases
- An information system for monitoring tuberculosis cases: implementation research protocol using RE-AIM for a health region in Brazil
- Scaling laws and spatial effects of Brazilian health regions: a research protocol
- Knowledge discovery in databases: comorbidities in tuberculosis cases
Informações sobre o DOI: 10.3233/SHTI230557 (Fonte: oaDOI API)
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