Fonte: Anais. Nome do evento: Simpósio Brasileiro de Bancos de Dados - SBBD. Unidades: ICMC, FFCLRP
Assuntos: MINERAÇÃO DE DADOS, INTEROPERABILIDADE, BANCO DE DADOS RELACIONAIS, SISTEMAS COMPUTADORIZADOS DE REGISTROS MÉDICOS
ABNT
CONRADO, Rafael Comitre Garcia et al. Combining semantic graph features and a common data model to exploit the interoperability of patient databases. 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://doi.org/10.5753/sbbd.2024.243153. Acesso em: 09 nov. 2024.APA
Conrado, R. C. G., Gutierrez, M. A., Traina Junior, C., Traina, A. J. M., & Cazzolato, M. T. (2024). Combining semantic graph features and a common data model to exploit the interoperability of patient databases. In Anais. Porto Alegre: SBC. doi:10.5753/sbbd.2024.243153NLM
Conrado RCG, Gutierrez MA, Traina Junior C, Traina AJM, Cazzolato MT. Combining semantic graph features and a common data model to exploit the interoperability of patient databases [Internet]. Anais. 2024 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.5753/sbbd.2024.243153Vancouver
Conrado RCG, Gutierrez MA, Traina Junior C, Traina AJM, Cazzolato MT. Combining semantic graph features and a common data model to exploit the interoperability of patient databases [Internet]. Anais. 2024 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.5753/sbbd.2024.243153