Mapping Health Visualizer

UI/UX Design 1

UI/UX Design 2

Goal of Project:

Using two-year health data from the CDC to create visuals for the data and using an ML model to predict the outcome.

Problem-Statement:

Visualization of the data is currently focused towards simple monitoring and tracking. This presents a unique challenge for visualization and interactivity; the new dashboard will solve for this by providing:

• Improved Interactivity and data insights.
• Improved trend visualization featuring heat-mapping for data.
• Healthcare and Mental Health Resource Needs:
• Insurance levels across the United States (create a dashboard that allows users to see the various areas of the US that have coverage and the density of coverage).
• Display general healthcare & mental health trends across the US.

Due to the heavy volume of data if we use all of the data points from the CDC (1 to 3 million datapoints per year), filtering on five (7) health data points and thirteen (13) states would be the best approach.

Health data points:

• Cancer (except Skin)
• Coronary Heart Disease
• COPD
• Obesity
• Diabetes
• Health Insurance
• Annual Checkup

Thirteen (13) states:

• Alabama
• Arizona
• Arkansas
• California
• Colorado
• Connecticut
• Delaware
• District of Columbia
• Georgia
• Hawaii
• Idaho
• Illinois
• Indiana

For Machine Learning:

We'll be using the KNN model since we have two years of data for comparison.

Role Assignments:

• Lead Developer: Masoud - Overall Design, Structure, and Implementation
• Git Master – Nathir (Thursday)
• Set-up Master Repo
• Settings: Collaborators
• README
• Git Pages
• Database Engineering: Edwin & Ronald
• ETL - includes extracting, filtering, sorting, dropping NaN, merging, concatenating, model testing, etc.
• Database Development (MySQL)
• Flask (Nathir – Backup Dev)
• Front-End Development Team: Nathir, Edwin, Ronald, Masoud
• User-Interface and Design (Figma front-end design)
• Javascript, CSS (bootstrap), HTML, Python, Pandas