A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems (2016)
- Authors:
- USP affiliated authors: SILVA, GISELA TUNES DA - IME ; SABINO, ESTER CERDEIRA - FM ; FERREIRA, JOÃO EDUARDO - IME
- Unidades: IME; FM
- DOI: 10.1016/j.future.2015.09.019
- Subjects: BIOINFORMÁTICA; ANEMIA; DOADORES DE SANGUE
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Future Generation Computer Systems
- ISSN: 0167-739X
- Volume/Número/Paginação/Ano: v. 59, p. 105-113, June 2016
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ALMEIDA, Fernanda Nascimento et al. A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems. Future Generation Computer Systems, v. 59, p. 105-113, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.future.2015.09.019. Acesso em: 06 jun. 2024. -
APA
Almeida, F. N., Tunes, G., Costa, J. C. B. da, Sabino, E. C., Mendrone Júnior, A., & Ferreira, J. E. (2016). A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems. Future Generation Computer Systems, 59, 105-113. doi:10.1016/j.future.2015.09.019 -
NLM
Almeida FN, Tunes G, Costa JCB da, Sabino EC, Mendrone Júnior A, Ferreira JE. A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems [Internet]. Future Generation Computer Systems. 2016 ; 59 105-113.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.future.2015.09.019 -
Vancouver
Almeida FN, Tunes G, Costa JCB da, Sabino EC, Mendrone Júnior A, Ferreira JE. A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems [Internet]. Future Generation Computer Systems. 2016 ; 59 105-113.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.future.2015.09.019 - Predictors of low haematocrit among repeat donors in São Paulo, Brazil: eleven year longitudinal analysis
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Informações sobre o DOI: 10.1016/j.future.2015.09.019 (Fonte: oaDOI API)
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