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资源简介：
Adverse events.
应用场景：
创建时间：
2017-02-04
相关数据集
Lots-of-LoRAs/task1495_adverse_drug_event_classification
该数据集名为task1495_adverse_drug_event_classification，主要用于药物不良事件分类任务。数据集包含输入、输出和ID三个特征，分别存储为字符串类型。数据集分为训练集、验证集和测试集，分别包含1598、200和200个样本。数据集的语言为英语，创建方式为众包，许可证为Apache-2.0。
Hugging Face2024-07-16 更新70
Additional file 1 of A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records
Top 20 least sparse features. The top 20 least sparse multi-variate features per dataset and patient group (i.e., ADE positive and ADE negative patients). The feature names are encoded as Nomenclature
DataCite Commons2020-08-27 更新60
Number of subjects presenting possible or probable related adverse events.
Number of subjects presenting possible or probable related adverse events.
NIAID Data Ecosystem40
Risk of cancers assessed by the modified intention to treat model and by the per protocol model.
Abbreviations: mITT, modified intention to treat; NDA, New drug Approval; NMSC, non-melanoma skin cancers; OR, odds ratio; 95% CI, 95% confidence interval; *14 trials included for overall cancer analy
NIAID Data Ecosystem60
Safety outcomes in the patients who received an injection of the investigational product.
Safety outcomes in the patients who received an injection of the investigational product.
Figshare2019-12-10 更新50
