Machine learning models automate classification of penicillin adverse drug reaction labels

There is a growing interest in the appropriate evaluation of penicillin adverse drug reaction (ADR) labels. We have developed machine learning models for classifying penicillin ADR labels using free-text reaction descriptions, and here report external and practical validation. The models performed comparably with expert criteria for the categorisation of allergy or intolerance and identification of high-risk allergies. These models have practical applications in detecting individuals suitable for penicillin ADR evaluation. Implementation studies are required.

Automated summary

Machine learning models developed by the research team were able to classify penicillin adverse drug reaction (ADR) labels using free-text reaction descriptions, and their effectiveness was validated externally and practically. These models performed comparably to expert criteria in categorizing allergy or intolerance and identifying high-risk allergies. They have practical applications in identifying individuals suitable for penicillin ADR evaluation. Implementation studies are needed.