Cargando…
Combining the External Medical Knowledge Graph Embedding to Improve the Performance of Syndrome Differentiation Model
The electronic medical records (EMRs) of traditional Chinese medicine (TCM) include a wealth of TCM knowledge and syndrome diagnosis information, which is crucial for improving the quality of TCM auxiliary decision-making. In practical diagnosis, one disease corresponds to one syndrome, posing consi...
Autores principales: | Ye, Qing, Yang, Rui, Cheng, Chun-lei, Peng, Lin, Lan, Yong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9908338/ https://www.ncbi.nlm.nih.gov/pubmed/36777631 http://dx.doi.org/10.1155/2023/2088698 |
Ejemplares similares
-
A type-augmented knowledge graph embedding framework for knowledge graph completion
por: He, Peng, et al.
Publicado: (2023) -
An inductive knowledge graph embedding via combination of subgraph and type information
por: Liu, Hongbo, et al.
Publicado: (2023) -
Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion
por: Kolyvakis, Prodromos, et al.
Publicado: (2020) -
Embedding-Based Recommendations on Scholarly Knowledge Graphs
por: Nayyeri, Mojtaba, et al.
Publicado: (2020) -
Knowledge Graph Embeddings for ICU readmission prediction
por: Carvalho, Ricardo M. S., et al.
Publicado: (2023)