 Predictive informatics

Predictive informatics refers to the use of data analysis techniques, algorithms, and statistical models to forecast outcomes and trends based on historical data. It combines elements of information science, statistics, machine learning, and data mining to extract insights and predict future events or behaviors. Key components of predictive informatics include: 1. **Data Collection and Management**: Gathering relevant datasets from various sources, which may include structured data (like databases) and unstructured data (like text and images).