Exploring Hypergraphs as a Technique for Understanding Impact of Co-Morbidities
In collaboration with Swansea University and the SAIL databank, this work focused on the generation of hypergraphs for investigating the individual and joint impact of comorbidities on a patient pathway. This work will feed into two future projects to continue the creation of directed hypergraphs and then apply graph neural networks to demonstrate the process of extracting useful insights from these data.
Results
Output | Link |
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Open Source Code & Documentation | Coming Soon |
Case Study | Awaiting Sign-Off |
Technical report | Coming Soon |