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When East Meets West: Cross-domain DDI annotation datasets

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DataCite Commons2024-12-18 更新2025-04-16 收录
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https://ieee-dataport.org/documents/when-east-meets-west-cross-domain-ddi-annotation-datasets
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This dataset encompasses Western Drug-Drug Interactions (DDIs) and Traditional Chinese Medicine (TCM) DDIs. As the use of both Western and TCM therapies expands, understanding potential interactions between these diverse medication types becomes crucial for clinical safety. The dataset aims to facilitate research in drug interaction prediction by providing high-quality, annotated examples from both domains. We employ advanced methodologies, including TEmbed-DDI, to analyze and integrate the multi-scale drug data, enhancing the robustness and generalization of DDI prediction models. Our findings highlight the importance of this dataset for advancing interaction research and improving patient outcomes in polypharmacy contexts. We will continuously update this dataset.

本数据集涵盖西药药物相互作用(Drug-Drug Interactions, DDIs)与传统中药(Traditional Chinese Medicine, TCM)药物相互作用。随着西药与传统中药联合应用的日益普及,明晰此类不同类别药物间的潜在相互作用,对保障临床用药安全具有关键意义。本数据集旨在通过提供两个领域的高质量标注样本,推动药物相互作用预测相关研究的开展。本研究采用包括TEmbed-DDI在内的先进方法,对多尺度药物数据进行分析与整合,以提升DDI预测模型的鲁棒性与泛化能力。本研究结果凸显了本数据集对于推进药物相互作用研究、改善多重用药场景下患者临床结局的重要价值。 本数据集将持续更新。
提供机构:
IEEE DataPort
创建时间:
2024-12-18
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