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Aggression
Description
Application to identify instances of aggressive behaviour in patients, including verbal, physical and sexual aggression.
Development approach: Machine-learning. Classification of past or present symptom: Both. Classes produced: Positive
The output includes-
Examples of positive mentions:
“reported to be quite aggressive towards…”,
“violence and aggression, requires continued management and continues to reduce in terms of incidents etc”.
Examples of negative / irrelevant mentions (not included in the output):
“no aggression”,
“no evidence of aggression”
“aggression won’t be tolerated”.
Search term(case insensitive): aggress
Results/Insights
Cohen's k = 85% (50 un-annotated documents - 25 events/25 attachments, search term ‘aggress*’). Instance level (testing done on 100 random documents): Precision (specificity / accuracy) = 91%
Recall (sensitivity / coverage) = 75% Patient level (testing done on 50 random documents): Precision (specificity / accuracy) = 76%
Details
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