Transformer-based relation extraction and concept normalization using an annotated clinical trials corpus

Key Points

• Relation extraction improves understanding of clinical trial data, enhancing research outcomes.
• The study employs a transformer-based approach to process 10,000 clinical trials, demonstrating its effectiveness.
• Assessment using an annotated clinical trials corpus reveals key relationships between various concepts and outcomes.
• This work supports improved data interpretation, which may lead to enhanced clinical decision-making processes.