Machine learning models automate classification of penicillin adverse drug reaction labels.

Autor: Inglis JM; Department of Clinical Pharmacology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.; Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.; Department of Clinical Pharmacology, Flinders University and Flinders Medical Centre, Adelaide, South Australia, Australia., Bacchi S; Department of Clinical Pharmacology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.; Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia., Troelnikov A; Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.; Clinical Immunology & Allergy, Royal Adelaide Hospital, Adelaide, South Australia, Australia.; Flinders University, Adelaide, South Australia, Australia., Smith W; Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.; Clinical Immunology & Allergy, Royal Adelaide Hospital, Adelaide, South Australia, Australia., Shakib S; Department of Clinical Pharmacology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.; Discipline of Pharmacology, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia.
Jazyk: angličtina
Zdroj: Internal medicine journal [Intern Med J] 2023 Aug; Vol. 53 (8), pp. 1485-1488.
DOI: 10.1111/imj.16194
Abstrakt: 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.
(© 2023 The Authors. Internal Medicine Journal published by John Wiley & Sons Australia, Ltd on behalf of Royal Australasian College of Physicians.)
Databáze: MEDLINE
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