metadata

license: mit

CT-ADE-SOC Dataset

Overview

The CT-ADE-SOC is a multilabel classification dataset designed for predicting adverse drug events (ADEs) at the System Organ Class (SOC) level of the MedDRA ontology using clinical trial data.

Key Features

Instances: 15'197
Unique Drugs: 2'474
Annotations: System Organ Class (SOC) level of MedDRA

Dataset Splits

Train: 12'419 instances
Validation: 1'518 instances
Test: 1'260 instances

Citation

@article{yazdani2024ct,
  title={CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results},
  author={Yazdani, Anthony and Bornet, Alban and Zhang, Boya and Khlebnikov, Philipp and Amini, Poorya and Teodoro, Douglas},
  journal={arXiv preprint arXiv:2404.12827},
  year={2024}
}

For more details, visit the GitHub repository.