Table 1 Architectural Configuration of the Proposed Framework.
Module | Layer Type | Input Dim | Output Dim | # Parameters |
|---|---|---|---|---|
Patient Encoder (VAE) | Dense Layer 1 | 18 | 64 | 1,216 |
Dense Layer 2 (ReLU) | 64 | 32 | 2,080 | |
Latent Layer \(\mu\), \(\sigma\) | 32 | 16 each | 1,056 | |
Categorical Embeddings | Region Embedding | 4 | 4 | 16 |
Insurance Embedding | 5 | 5 | 25 | |
Medical Condition Embedding | 10 | 6 | 60 | |
R-GCN (Knowledge Graph) | GCN Layer 1 | 128 | 64 | 8,192 |
GCN Layer 2 (ReLU) | 64 | 32 | 2,048 | |
Policy Network (PPO / DQN) | Input Layer | 90 | 128 | 11,648 |
Hidden Layer 1 (ReLU) | 128 | 64 | 8,256 | |
Hidden Layer 2 (Dropout 0.3) | 64 | 32 | 2,080 | |
Output Layer (Softmax/Q) | 32 | 5 | 165 | |
Total Parameters | Â | Â | Â | 36,842 |