| 1 | April business meeting session for this group |
| - Agreement that a face-to-face session in April would be beneficial
- Specify a number of topics to discuss in person from the outputs of the virtual meetings
| Karim to follow up with Jim Campbell |
| 3 | Ratio of a substance in two different specimens Ratio of two different measurement properties |
| How do we assess effort vs impact? The requirement to model them accurately for machine reasoning - auto-classifications; erroneous subsumptions Examples: Two different specimens LOINC 73913-6 - Glycine in CSF/Glycine in plasma UK SNOMED CT code 1812741000000102 | Substance concentration ratio of glycine in cerebrospinal fluid to glycine in plasma (observable entity) | Mass/Mol ratio 40486-3 Protein/Creatinine [Ratio] in 24 hour Urine Unit - g/mmol
Brief discussion on options and concept model limitations: - Maintain a small number of concepts that can stay primitive
- Cannot do relative role groupings
- Renaming the attributes / new attributes e.g. 'relative_to_inheres_in' 'relative_to_component'
- Using 'relative concentration property '- problems with subsumption under measurements of the substances - unless placed under ratio observable intermediate primitive
- Model nominator and denominator values as observable entity measurement concepts
We need to figure out the underlying ontological model that represents the dynamic for both use-cases - different specimens; different measured properties LOINC specifies the numerator and denominator in the description but no good way to model it for computability
| Karim to review the modelling options with Daniel and bring back to the group |