An Open Source Approach to Build Guardrails for Deploying ML Models in Healthcare

Explore an open-source software framework designed to address the challenges of deploying machine learning models in healthcare applications. Learn about the Vector Institute's approach to responsible ML implementation, focusing on rigorous evaluation and monitoring across patient sub-populations. Discover how to generate evaluation and monitoring reports for end-users through two practical use cases. Delve into the challenges of implementing monitoring sub-systems in healthcare settings. This 90-minute conference talk, presented by Amrit Krishnan, Senior Applied Machine Learning Specialist at the Vector Institute, offers valuable insights into building guardrails for ML deployment in the healthcare sector.