Consumer Health Vocabulary (from UMLS)
Description: CHV connects informal, common words and phrases about health to technical terms used by health care professionals. It includes jargon, slang, ambiguous, and misspelled words as used by consumers and health care professionals. OAC CHV is designed to complement the existing framework of the UMLS and to aid the needs of consumer health applications, enabling these applications to translate technical terms to consumer friendly language.
Cross-references: http://consumerhealthvocab.org/, http://consumerhealthvocab.org/docs/README.pdf, https://www.nlm.nih.gov/research/umls/sourcereleasedocs/
Edge Categories Distribution
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Epistemic Robustness
Epistemic Robustness measures the provenance quality of edges from this knowledge source, using Knowledge Level and Agent Type from the Biolink Model to assess evidence strength and reliability. Higher scores indicate stronger evidence and greater manual curation.
1.00
Average Epistemic Score
Average Epistemic Score
1.00
Knowledge Level Score
Most common: Knowledge Assertion
Knowledge Level Score
Most common: Knowledge Assertion
1.00
Agent Type Score
Most common: Manual Agent
Agent Type Score
Most common: Manual Agent
24,350
Edges Included
Edges Included
0
Edges with Missing Provenance
(Both Knowledge Level and Agent Type not provided)
Edges with Missing Provenance
(Both Knowledge Level and Agent Type not provided)
Edge Type Validation
This section shows the validation of edge types in this knowledge source against the recognized biolink schema patterns.
0
Recognized Edges
(0.0%)
Recognized Edges
(0.0%)
24,350
Unrecognized Edges
( 100.0 %)
Unrecognized Edges
( 100.0 %)
ABox / TBox Classification
The TBox-to-ABox balance reflects how much a knowledge graph emphasizes abstract schema versus concrete instances—too much of either can hinder effective learning and reasoning.
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0
ABox Edges
( 0.0 %)
ABox Edges
( 0.0 %)
24,350
TBox Edges
( 100.0 %)
TBox Edges
( 100.0 %)
0
Undefined
( 0.0 %)
Undefined
( 0.0 %)
