Predictive Healthcare Resource Allocation Model

Design a machine learning-powered Python script for predictive healthcare resource allocation. Develop a model that integrates patient admission data, historical treatment patterns, seasonal variations, and demographic factors to forecast hospital resource requirements. Implement ensemble learning techniques combining random forest, gradient boosting, and neural network approaches. Include model interpretability features and confidence interval calculations for critical care resource predictions.