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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

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> To develop a transformer-based natural language processing (NLP) system for detecting adverse drug events (ADEs) from clinical notes in electronic health records (EHRs). <h4>Materials and Methods</h4> We 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 d...

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Literature Corpus work
d5be57bd-5a3d-51ed-b552-4db96d5ceccf
DOI
10.1101/2024.07.09.24310100
Open publication

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Developing a natural language processing system using transformer-based models for adverse drug event detection in electronic health recordsDOI 10.1101/2024.07.09.24310100
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