Our goal in this project is to use datasets collected as a result of interactions of patients with the current healthcare system, and build a number of predictive models that can:

• predict manpower needs,
• predict demand for various types of resources,
• predict impending bottlenecks.

To achieve this, we will focus on an end-to-end data science endeavor, develop a predictive modeling platform, which involves steps from data organization, variable/feature generation, modeling using machine learning and tuning of models (using our algorithms within the Deep mining system) to ultimately simulating the models (with uncertainty) to predict outcomes of interest.