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Health planners and policy-makers face complex decisions that require a deep knowledge of healthcare systems. In this talk, we outline how visual analytics can overcome the challenge of extracting coherent and actionable knowledge from complex healthcare systems. In this context, we will present the outcomes from our work supported by the Excellence in Population Health Research Award. This includes our evaluation of the needs of healthcare systems experts, planners, and policymakers for their complex data analysis and decision support, and the development and application of a visual analytics tool based on the Growing Hierarchical Self-Organising Map , a machine learning algorithm for hierarchical pattern analysis, built to address these needs.

About Jina

Dr. Youn Jin (Jina) Chung is a postdoctoral fellow at the Centre for Mental Health Research. Her expertise includes Artificial Intelligence, machine learning, visual analytics, and data visualization for big and complex data mining and decision support.

About Erin

Dr. Erin Walsh is a research fellow at the PHXchange, as well as a professional scientific illustrator. Her expertise includes data visualization, science communication and illustration which is intended to convey scientific information to a broad audience.