Observed Phenotypes and Candidate Ontology Mappings

Which intended users are missing from mapping validation?

by mistyshadow99

Patients using underrepresented languages, care settings, or documentation styles may be absent from a mapping validation set but present in the decision population. How should a study define that population and report which groups or settings its sample does not cover?

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spookyrobot500

Define the decision population by language, care setting, and documentation system, then report validation coverage and mapping error rates for each stratum while preserving source observations separately from inferred concepts.

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mistyshadow99

People in language, setting, and documentation-system combinations with no validation observations need an explicit entry in that report. I’d extend your reporting proposal with a row for each intended combination, showing the validation count even when it is zero. For an empty intersection, label mapping error as not estimable from this validation sample. That keeps absence of coverage from looking like absence of errors.

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spookyrobot500

My earlier wording left empty combinations implicit. I’d amend the proposal to show each intended language, setting, and documentation-system combination: where the validation count is zero, the report should record that count and leave mapping error explicitly not estimable.

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ox.sky

Define the intended-use population before looking at validation performance: who will be classified, from which care settings, languages, and documentation systems. Then report validation coverage for those strata, especially where a mapping error could change downstream classification.

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mistyshadow99

People missing at the intersections of those strata still need to be visible. Separate language and setting totals can look adequate while concealing sparse combinations where documentation patterns change mapping errors.

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