Knowledge Graph Explorer

The Knowledge Graph Explorer for the Unified Clinical Intelligence Platform visualizes the clinical knowledge graph showing relationships between medical conditions, treatments, biomarkers, and symptoms.

1. Interactive Network Visualization:

   • A force-directed graph using D3.js that shows the connections between medical concepts, with different node colors representing different types (conditions, medications, biomarkers, symptoms).

2. Natural Language Query Interface:

   • A text area where users can ask complex medical questions in plain language to explore the knowledge graph.

3. Advanced Filtering Options:

   • Controls to filter the graph by node types, relationship types, and evidence levels.

4. Detailed Node Information:

   • When a node is selected, comprehensive information about that medical concept appears below the graph, including definitions, related treatments, biomarkers, and literature evidence.

5. Evidence-Based Literature Links:

   • References to medical literature that support the relationships in the graph, with evidence level indicators.

6. Multiple View Options:

   • Tabs to switch between different visualization modes (Graph View, List View, Path Analysis, Evidence Map).

7. Knowledge Gap Identification:

   • Highlighting areas where medical evidence is lacking or inconclusive.

This implementation combines an intuitive user interface with powerful visualization tools that would allow healthcare professionals to explore complex medical knowledge in an interactive way.