NHS DART Internship: Graph Representation Learning
Representation learning for EHR data, exploring graph structures and semantic embeddings applied to national-scale datasets.
Tools
- Data: SAIL Databank, ICNARC
- Key packages:
networkx
,scikit-learn
,pytorch
,karateclub
,transformers
- Methods: Graphs, Node Embeddings, Graph Neural Networks (GNNs), Large Language Models (LLMs), Representation Learning, Classification, Regression
- Ways of working: Agile, git, TDD, CI/CD, Trusted Research Environment (TRE)
Outputs
In progress, estimated completion: November 2023