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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](https://github.com/ds4dh/CT-ADE). |