Multi-label classification of symptom terms from free-text bilingual adverse drug reaction reports using natural language processing.

ABSTRACT: Allergic reactions to medication range from mild to severe or even life-threatening. Proper documentation of patient allergy information is critical for safe prescription, avoiding drug interactions, and reducing healthcare costs. Allergy information is regularly obtained during the medical interview, but is often poorly documented in electronic health records (EHRs). While many EHRs allow for structured adverse drug reaction (ADR) reporting, a free-text entry is still common. The resulting information is neither interoperable nor easily reusable for other applications, such as clinical decision support systems and prescription alerts. Current approaches require pharmacists to review and code ADRs documented by healthcare professionals. Recently, the effectiveness of machine algorithms in

SUBMITTER: Chaichulee S 

PROVIDER: S-EPMC9352066 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature