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Circumstantiality
Description
Application to identify instances of circumstantiality
Development approach: Machine-learning. Classification of past or present symptom: Both. Classes produced: Positive
The output includes- Positive mentions include:
“loose associations and circumstantiality”,
“circumstantial in nature”, “some circumstantiality at points”, “speech is less circumstantial”
Exclude Negative mentions:
“no signs of circumstantiality”, “no evidence of circumstantial”
Exclude Unknown mentions:
“Such as a hypothetical cause of something else” Definition: Search term(s): circumstan
Results/Insights
Cohen's k = 100% (50 annotated documents - 25 events/25 attachments). Instance level, i.e. for all specific mentions (testing done on 100 random documents): Precision (specificity / accuracy) = 94% Recall (sensitivity / coverage) = 92% Patient level – Testing done on 30 random document, one document per patient. Precision (specificity / accuracy) = 90%
Details
License
Not specified
Last Updated
09/06/2025
Associated Authors
CRIS
Datasets that the analysis, tool or software can be applied to (1)
South London and Maudsley NHS Foundation Trust (SLaM) Clinical Record Interactive Search (CRIS) plat
Dataset population size: Unknown
Health and disease