Once collected, data must be managed and analyzed to derive meaningful insights:
Data Cleaning: This involves removing errors and inconsistencies to ensure data quality. Data Integration: Combining data from different sources to provide a comprehensive view. Statistical Analysis: Various statistical methods are used to identify patterns and correlations in the data. Machine Learning: Advanced algorithms can predict outcomes and identify potential treatment targets.
