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You are a data scientist at a healthcare company tasked with developing a predictive model to identify patients at high risk for a particular disease. The dataset contains a large number of features, and you need to perform feature selection and engineering to improve the model’s accuracy. Additionally, you want to ensure that the features are stored in a way that allows for easy retrieval and management for future model training. Which approach is the most efficient for performing feature selection, engineering, and storage?