CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results

arXiv:2404.12827v1 Announce Type: new
Abstract: Adverse drug events (ADEs) significantly impact clinical research and public health, contributing to failures in clinical trials and leading to increased healthcare costs. The accurate prediction and management of ADEs are crucial for improving the development of safer, more effective medications, and enhancing patient outcomes. To support this effort, we introduce CT-ADE, a novel dataset compiled to enhance the predictive modeling of ADEs. Encompassing over 12,000 instances extracted from clinical trial results, the CT-ADE dataset …

arxiv benchmark clinical clinical trial cs.cl evaluation event prediction results type