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--- |
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license: mit |
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language: |
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- en |
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size_categories: |
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- 10K<n<100K |
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--- |
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# CT-ADE-SOC Dataset |
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## Overview |
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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. |
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## Key Features |
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- **Instances**: 15'197 |
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- **Unique Drugs**: 2'474 |
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- **Annotations**: System Organ Class (SOC) level of MedDRA |
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## Dataset Splits |
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- **Train**: 12'419 instances |
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- **Validation**: 1'518 instances |
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- **Test**: 1'260 instances |
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## Citation |
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``` |
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@article{yazdani2025evaluation, |
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title={An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results}, |
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author={Yazdani, Anthony and Bornet, Alban and Khlebnikov, Philipp and Zhang, Boya and Rouhizadeh, Hossein and Amini, Poorya and Teodoro, Douglas}, |
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journal={Scientific Data}, |
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volume={12}, |
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number={1}, |
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pages={1--12}, |
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year={2025}, |
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publisher={Nature Publishing Group} |
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} |
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``` |
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For more details, visit the [GitHub repository](https://github.com/ds4dh/CT-ADE). |
