Creating new features involves a combination of domain expertise and data manipulation techniques. Here are some common methods:
Aggregation: Summarizing data points, such as the average number of cases per week. Transformation: Applying mathematical functions, like logarithms or square roots, to stabilize variance. Interaction: Creating new features by combining two or more existing features, such as age and smoking status. Temporal features: Extracting time-based features, like seasonality or trends, to account for temporal changes in disease patterns.
