Skip to main content

Sepsis detection using model ensembles on Amazon SageMaker (Level 300 | Advanced)

Sepsis is one of the leading causes of death in hospital patients worldwide. In this session, learn how NSW Health is building a proactive sepsis management solution using Amazon SageMaker for early detection in hospital emergency department for prompt and targeted treatment. Learn how to combine predictions from multiple models in Sagemaker to reduce errors and improve generalisation. We cover NSW Health's use of model ensembles to provide enhanced prediction and dive into how clinicians can observe the outcomes of the models to make informed decisions.

Aun Iftikhar, Solutions Architect, AWS
Mostafa Shaikh, Senior Data Scientist, eHealth NSW