Step-by-Step Decision Process (Using Elena)

1. Data Ingestion

Elena’s demographic and clinical profile are entered by the therapist using the CDSS interface.

2. Feature Extraction

The system encodes Elena’s cognitive and motor scores into a feature vector…

3. Patient Profiling

A latent representation of Elena is computed…

4. Protocol Matching

The recommender system selects candidate rehabilitation protocols that match her motor and cognitive needs…

5. Prescription Generation

A weekly prescription is generated that balances protocol type, domain coverage, and difficulty progression.

Note

Elena’s initial prescription includes 3 motor-intensive protocols and 2 cognitive ones, with gradual difficulty adaptation based on engagement feedback.