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