Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language

Zehao Yu1, Xi Yang1, Gianna L Sweeting2

  • 1Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.

Summary

Transformer-based NLP models effectively extract diabetic retinopathy (DR) concepts from clinical reports. Pretraining models on clinical text is crucial for concept extraction, while general English text pretraining benefits relation extraction.

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