MLDS 490-23: Healthcare Analytics

This course is not currently offered.


Global healthcare problems are complex and require a multi-leveled multi-pronged approach inclusive of a diverse set of stakeholders. While the data used for model training and decision making is being aggregated rapidly, it presents its unique challenges such as errors, missingness and sparsity. Additionally, the models trained for healthcare problems often have unique aspects. This course introduces additional concepts in data analytics, based on tools and techniques from operations research and epidemiology embedded in information technology to address health analytics and decision problems.