GAMENet: Integrating Medical Guidelines into Neural Network Predictions
Integrate explicit medical guidelines and domain knowledge into neural network architectures for improved clinical alignment.
GAMENet (Graph-based Attention Multi-dimensional medication Embedding Network) incorporates structured medical knowledge—such as treatment guidelines and drug interaction databases—directly into a neural network. Rather than learning purely from data, GAMENet builds a knowledge graph of medical entities (drugs, conditions, guidelines) and uses graph neural networks to reason over this structure while learning from patient outcomes. This hybrid approach combines the pattern-finding power of deep learning with the trustworthiness and explainability of codified medical knowledge. For medication recommendation, GAMENet respects known drug-drug interactions and contraindications while learning patient-specific optimizations, reducing the risk of recommending clinically inappropriate treatments.
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