Knowledge graphs & clinical NLP
Where unstructured text and disconnected concepts get turned into something usable.
Overview
Where NLP and knowledge graphs earn their place
Unstructured clinical text and disconnected concepts are the two problems these techniques are actually for.
Clinical NLP
- Concept & entity extraction
- Negation & context detection
- Document classification
- De-identification support
Knowledge graphs
- Concept relationship mapping
- Terminology cross-mapping
- Care-pathway representation
- Research knowledge assembly
Combined
- Literature intelligence
- Evidence synthesis support
- Cohort & concept discovery
- Explainable concept traceability