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Outputs (354)

Data-driven patient segmentation using K-means clustering: The case of hip fracture care in Ireland (2017)
Presentation / Conference Contribution

Machine learning continues to forge the future of decision making in a broad diversity of domains including healthcare. Data-driven methods are increasingly geared towards leveraging evidence-based insights from large volumes of patient data. In this... Read More about Data-driven patient segmentation using K-means clustering: The case of hip fracture care in Ireland.

Coupling simulation with machine learning: A hybrid approach for elderly discharge planning (2016)
Presentation / Conference Contribution

Healthcare systems are increasingly challenged by the phenomenal growth of population ageing. Healthcare executives are, and will be, in an inevitable need of evidence-based artifacts for decision making. The paper addresses issues in the context of... Read More about Coupling simulation with machine learning: A hybrid approach for elderly discharge planning.

Large-scale ontology storage and query using graph database-oriented approach: The case of Freebase (2016)
Presentation / Conference Contribution

Ontology has been increasingly recognised as an instrumental artifact to help make sense of large amounts of data. However, the challenges of Big Data significantly overburden the process of ontology storage and query particularly. In this respect, t... Read More about Large-scale ontology storage and query using graph database-oriented approach: The case of Freebase.