Machine Learning Feature Engineering for Patient Outcomes

Create a sophisticated SQL query framework that prepares healthcare data for machine learning predictive models. Design a system that automatically generates feature vectors from patient records, including time-series medical history, treatment responses, and longitudinal health indicators. Implement advanced feature selection and transformation techniques that can handle missing data, normalize complex medical measurements, and create high-dimensional feature spaces suitable for predictive modeling.