Domain: Healthcare Analytics - Neurology & Disease Progression Studies | Tools: Power BI, Excel, DAX

📘 Project Overview

Alzheimer’s disease is a progressive neurodegenerative condition that significantly impacts aging populations. Early identification of risk factors can improve care outcomes and resource planning. This Power BI project analyzes real-world data to identify predictors of Alzheimer's disease based on demographics, cognitive scores, lifestyle, and family history. By leveraging interactive visualizations, the dashboard enables dynamic risk profiling and supports data-informed early detection strategies.

🔗 GitHub

Alzheimer_dashboard.pbix

📊 Dashboard Highlights

The dashboard allows for filtering, drilling down, and trend exploration across key variables:

🎓 Education Level

📅 Age Groups

🧬 Family History of Alzheimer’s

🧠 MMSE (Mini-Mental State Examination) Scores

🧪 Functional Assessment Scores

🛌 Lifestyle Behaviors

🤕 History of Head Injury

🔍 Dynamic slicers and visual charts reveal high-risk groups and predictor patterns in an intuitive interface.