3 citations · 4 across the 3 of their papers we have counts for
3 papers
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies
Christos Theodoropoulos, Natasha Mulligan, Joao Bettencourt-Silva
Developing novel predictive models with complex biomedical information is challenging due to various idiosyncrasies related to heterogeneity, standardization or sparseness of the d…
Representation Learning for Person or Entity-centric Knowledge Graphs: An Application in Healthcare
Christos Theodoropoulos, Natasha Mulligan, Thaddeus Stappenbeck +1
Knowledge graphs (KGs) are a popular way to organise information based on ontologies or schemas and have been used across a variety of scenarios from search to recommendation. Desp…
Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions
Thanh Nguyen-Duc, Natasha Mulligan, Gurdeep S. Mannu +1
The wide adoption of Electronic Health Records (EHR) has resulted in large amounts of clinical data becoming available, which promises to support service delivery and advance clini…