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CT-ADE-PT Dataset
Overview
The CT-ADE-PT is a multilabel classification dataset designed for predicting adverse drug events (ADEs) at the Preferred Term (PT) level of the MedDRA ontology using clinical trial data.
Key Features
- Instances: 15'640
- Unique Drugs: 2'497
- Annotations: Preferred Term (PT) level of MedDRA
Dataset Splits
- Train: 12'736 instances
- Validation: 1'509 instances
- Test: 1'395 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.
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