Temporal Healthcare Pattern Recognition Framework

Create an advanced framework for recognizing complex temporal patterns in healthcare data using state-of-the-art machine learning techniques. Develop a methodology that can identify subtle, long-term health trends across multiple patient cohorts and diverse medical conditions. Implement sophisticated time-series analysis techniques, including attention-based neural networks and probabilistic graphical models.