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Developing a natural language processing system using transformer-based models for adverse drug event detection in electronic health records
2024-07-10
health informatics
Title + abstract only
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ObjectiveTo develop a transformer-based natural language processing (NLP) system for detecting adverse drug events (ADEs) from clinical notes in electronic health records (EHRs). Materials and MethodsWe fine-tuned BERT Short-Formers and Clinical-Longformer using the processed dataset of the 2018 National NLP Clinical Challenges (n2c2) shared task Track 2. We investigated two data processing methods, window-based and split-based approaches, to find an optimal processing method. We evaluated the ...
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