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

Chris Tomlinson
Chris Tomlinson

MBBS BSc MRes DMCC MRCA

UK Health Data & AI Lead

Honorary Senior Research Fellow in Clinical Foundation Models

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