Causal Artificial Intelligence for Health Research

3 Credits

Will cover theoretical and practical approaches related to causal Artificial Intelligence (AI), embedding machine learning with causal inference methods on real-world data, and methodologies for automated causal learning. Health research topics such as target trials and transportability will be taught. The students will learn theory behind causal inference methods applied under different constraints, and how to build predictive models and risk scores utilizing causal AI.