Human Factors of XR: Using Human Factors to Design XR Systems
Elsevier’s Healthcare Knowledge Graph
1. Elsevier’s Healthcare
Knowledge Graph
Alex DeJong, Radmila Bord, Will Dowling, Rinke Hoekstra, Ryan Moquin, Charlie O, Mevan
Samarasinghe, Paul Snyder, Craig Stanley, Anna Tordai, Michael Trefry, and Paul Groth.
@pgroth | @elsevierlabs
October 10, 2018
The Case for Enterprise Linked
Data Standards
4. A Health Care Knowledge Graph
4
What types of questions do clinicians ask?
Spans Entity Types
- Drugs
- Diagnosis
- Symptoms
- Phenotypes
- Diseases
- …
5. H-Graph: The Elsevier Health Knowledge Graph
400K+ medical concepts with relations and extensive
mappings to industry vocabularies and multi-language support
4.9M+ semantic relations extracted from medical
literature using NLP and convolutional neural networks
Deep and expressive graph model extends relations with
qualitative and quantitative context
Graph-based knowledge representations power
advanced clinical decision support applications
9. Linked Data Principles are under specified
• What syntax do you provide and as a
consumer can you expect?
• What names spaces do you use?
• How do you link to single sign-on?
• What links should you set?
9