Combining semantic graph features and a common data model to exploit the interoperability of patient databases (2024)
- Authors:
- USP affiliated authors: TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC ; CAZZOLATO, MIRELA TEIXEIRA - FFCLRP ; CONRADO, RAFAEL COMITRE GARCIA - ICMC
- Unidades: ICMC; FFCLRP
- DOI: 10.5753/sbbd.2024.243153
- Subjects: MINERAÇÃO DE DADOS; INTEROPERABILIDADE; BANCO DE DADOS RELACIONAIS; SISTEMAS COMPUTADORIZADOS DE REGISTROS MÉDICOS
- Keywords: Data mining; knowledge graph; electronic health records; common data model; interoperabiliy
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2024
- Source:
- Conference titles: Simpósio Brasileiro de Bancos de Dados - SBBD
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
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: 31 mar. 2026. -
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.2024.243153 -
NLM
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 2026 mar. 31 ] Available from: https://doi.org/10.5753/sbbd.2024.243153 -
Vancouver
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 2026 mar. 31 ] Available from: https://doi.org/10.5753/sbbd.2024.243153 - From tables to graphs with ClinicoAtlas: leveraging LLMs to support modeling and mining knowledge graphs
- Assessing large language models for structuring patient records
- Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools
- TGRAPP: anomaly detection and visualization of large-scale call graphs
- CallMine: fraud detection and visualization of million-scale call graphs
- TgraphSpot: fast and effective anomaly detection for time-evolving graphs
- Establishing trajectories of moving objects without identities: the intricacies of cell tracking and a solution
- A symptom-based community-weighted similarity approach for inpatient health condition monitoring
- Taking advantage of highly-correlated attributes in similarity queries with missing values
- Modeling clinical data with attention: a knowledge graph approach with CliniKG
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Por se tratar de integração com serviço externo, podem existir diferentes versões do trabalho (como preprints ou postprints), que podem diferir da versão publicada.
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3218407.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
