Healthcare Cost Prediction Machine Learning Model

Develop a predictive regression model using scikit-learn that forecasts individual patient healthcare costs based on demographic, medical history, and treatment data. Requirements include: handling missing values, implementing feature engineering techniques, using cross-validation with at least 5 different algorithms, generating interpretable feature importance charts, and creating a Flask API endpoint for real-time cost predictions. Include robust error metrics and confidence interval calculations.