license:mit arxiv:2404.12827 region:us
---
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](https://github.com/ds4dh/CT-ADE).