Adaptive Healthcare Intervention Recommendation Engine

Develop a dynamic healthcare intervention recommendation system that provides personalized treatment suggestions based on comprehensive patient data analysis. Create a probabilistic recommendation framework integrating machine learning, Bayesian inference, and multi-objective optimization techniques. Design an adaptive model capable of continuously learning from treatment outcomes and updating its recommendation strategies. Implement explicit uncertainty quantification and potential side-effect probability assessments.