National network for rare diseases in Brazil: the computational infrastructure and preliminary results (2022)
- Authors:
- USP affiliated authors: ALVES, DOMINGOS - FMRP ; YAMADA, DIEGO BETTIOL - FMRP ; BERNARDI, FILIPE ANDRADE - BIOENGENHARIA ; COLOMBO FILHO, MÁRCIO ELOI - BIOENGENHARIA ; NEIVA, MARIANE BARROS - ICMC ; LIMA, VINÍCIUS COSTA - BIOENGENHARIA ; VINCI, ANDRÉ LUIZ TEIXEIRA - FMRP
- Unidades: FMRP; BIOENGENHARIA; ICMC
- DOI: 10.1007/978-3-031-08757-8_4
- Subjects: DOENÇAS RARAS; SAÚDE PÚBLICA; PROFISSIONAIS DA SAÚDE; TECNOLOGIA DA INFORMAÇÃO; ASSISTÊNCIA AO PACIENTE (SERVIÇOS DE SAÚDE)
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 13352, p. 43-49, 2022
- Conference titles: International Conference on Computational Science - ICCS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
YAMADA, Diego Bettiol et al. National network for rare diseases in Brazil: the computational infrastructure and preliminary results. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08757-8_4. Acesso em: 29 maio 2024. , 2022 -
APA
Yamada, D. B., Bernardi, F. A., Colombo Filho, M. E., Neiva, M. B., Lima, V. C., Vinci, A. L. T., et al. (2022). National network for rare diseases in Brazil: the computational infrastructure and preliminary results. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-08757-8_4 -
NLM
Yamada DB, Bernardi FA, Colombo Filho ME, Neiva MB, Lima VC, Vinci ALT, Oliveira BM de, Félix TM, Alves D. National network for rare diseases in Brazil: the computational infrastructure and preliminary results [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 43-49.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_4 -
Vancouver
Yamada DB, Bernardi FA, Colombo Filho ME, Neiva MB, Lima VC, Vinci ALT, Oliveira BM de, Félix TM, Alves D. National network for rare diseases in Brazil: the computational infrastructure and preliminary results [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 43-49.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_4 - Mapping, infrastructure, and data analysis for the brazilian network of rare diseases: protocol for the RARASnet observational cohort study
- Portal COVID-19 Brasil: monitoramento e análises da situação do coronavírus
- Creating a decision support system for tuberculin skin test with machine learning: a research protocol
- The minimum dataset for rare diseases in Brazil: a systematic review protocol
- Informed consent form automated validation, the brazilian rare disease network case proposal
- The relevance of digital health strategies to support tuberculosis services in the COVID-19 pandemic context. [Carta]
- Preliminary results on pulmonary tuberculosis detection in chest X-ray using convolutional neural networks
- COVID-19 BR: a web portal for COVID-19 information in Brazil
- TBI Score: use of a mobile score system to aid the diagnosis of tuberculosis in children in Brazil
- A mechanism for verifying the integrity and immutability of tuberculosis data using IOTA distributed ledger technology
Informações sobre o DOI: 10.1007/978-3-031-08757-8_4 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | 3129083.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
