metadata
license: mit
language:
- en
size_categories:
- 10K<n<100K
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{yazdani2025evaluation,
title={An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results},
author={Yazdani, Anthony and Bornet, Alban and Khlebnikov, Philipp and Zhang, Boya and Rouhizadeh, Hossein and Amini, Poorya and Teodoro, Douglas},
journal={Scientific Data},
volume={12},
number={1},
pages={1--12},
year={2025},
publisher={Nature Publishing Group}
}
For more details, visit the GitHub repository.