A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems (2014)
- Authors:
- USP affiliated authors: SILVA, GISELA TUNES DA - IME ; SABINO, ESTER CERDEIRA - FM ; FERREIRA, JOÃO EDUARDO - IME
- Unidades: IME; FM
- DOI: 10.1109/eScience.2014.28
- Subjects: BIOINFORMÁTICA; ANEMIA; DOADORES DE SANGUE
- Keywords: declarative specifications; ontensive data analyses; hemotherapy information; provenance model
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2014
- Source:
- Título do periódico: Proceedings
- Conference titles: IEEE International Conference on e-Science
- 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. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/eScience.2014.28. Acesso em: 24 abr. 2024. -
APA
Almeida, F. N., Tunes, G., Sabino, E. C., Mendrone Júnior, A., & Ferreira, J. E. (2014). A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems. In Proceedings. Los Alamitos: IEEE. doi:10.1109/eScience.2014.28 -
NLM
Almeida FN, Tunes G, Sabino EC, Mendrone Júnior A, Ferreira JE. A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems [Internet]. Proceedings. 2014 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/eScience.2014.28 -
Vancouver
Almeida FN, Tunes G, Sabino EC, Mendrone Júnior A, Ferreira JE. A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems [Internet]. Proceedings. 2014 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/eScience.2014.28 - Predictors of low haematocrit among repeat donors in São Paulo, Brazil: eleven year longitudinal analysis
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Informações sobre o DOI: 10.1109/eScience.2014.28 (Fonte: oaDOI API)
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