The objective of this project is to create mathematical modeling to determine medical diagnostic information, aggregate information to determine both historical and predictive analytics to determine future need and to track health progress. This will involve several different steps for the students, including:

- Analyzing existing medical data to identify trends and patterns.

- Developing a mathematical model to predict medical diagnostic information.

- Optimizing the model for accuracy and performance.

- Researching other variables that can improve the accuracy of the model.

- Accounting for additional variables in the model.

- Testing the model and making improvements based on additional data.

By the end of the project, students should demonstrate:

- Understanding of existing medical data and trends.

- Understanding of variables that affect the accuracy of the model.

- Identification of areas for future improvement of the model.

Bonus steps would include:

- Testing the model with real-world data and accounting for additional parameters.

Final deliverables should include

- All source code.

- A written report explaining the design process and outcomes.

I will support learners with up to 3 hours per week of guidance and mentoring. Access to Google Cloud Platform or AWS training. I will provide access to cloud resources for development.