Develop a healthcare data visualization system capable of analyzing large-scale patient and disease datasets. The system should identify trends, seasonal outbreaks, and demographic patterns through interactive visual dashboards to support healthcare administrators in decision-making and preventive healthcare planning.
Gather healthcare datasets (public health repositories or simulated datasets).
Perform data cleaning, anonymization, and transformation.
Implement ETL pipeline for structured and semi-structured data.
Store processed data using Hadoop/Spark or relational databases.
Design multidimensional data models for disease trend analysis.
Implement drill-down and filter functionalities.
Integrate predictive analytics for outbreak forecasting.
Enable comparative analysis across regions or time periods.
Ensure data privacy and ethical compliance.
Optimize visualization performance for large datasets.
Implement user access control.
Generate automated summary reports.
Conduct performance benchmarking.
Prepare a final presentation including architecture diagram and evaluation metrics.
