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Anosmia
Description
Application to extract and classify mentions related to anosmia.
Development approach: Machine-learning. Classification of past or present symptom: Both. Classes produced: Positive
The output includes-
Examples of positive mentions:
“Loss of enjoyment of food due to anosmia”,
“COVID symptoms such as anosmia”
Examples of negative / irrelevant mentions (not included in the output):
“Nil anosmia”,
“Anosmia related to people other than the patient”,
“Mentions of medications for it”,
“Don’t come to the practice if you have any covid symptoms such as anosmia”
Search term(case insensitive): Anosmia*
Results/Insights
Cohen's k = 83% (100 Random Documents). Instance level, (testing done on 100 random documents):Precision (specificity / accuracy) = 83% Recall (sensitivity / coverage) = 93%
Details
License
Not specified
Last Updated
22/10/2025
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