Additional file 2: of Generalized enrichment analysis improves the detection of adverse drug events from the biomedical literature
收藏DataCite Commons2024-12-18 更新2024-07-25 收录
下载链接：
https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Generalized_enrichment_analysis_improves_the_detection_of_adverse_drug_events_from_the_biomedical_literature/4474817/1
下载链接
链接失效反馈官方服务：
资源简介：
Overall performance measured on all drug classes and outcomes in OMOP gold standard. Performance is measured for each of the four AE outcomes measured in terms of AUC summarizing all achievable combinations of true positive and false positive rates. (XLSX 11 kb)
本研究基于OMOP金标准（OMOP gold standard）中的全部药物类别与结局指标评估模型整体性能。针对四项不良事件（AE，Adverse Event）结局分别计算性能，性能指标采用受试者工作特征曲线下面积（AUC，Area Under the Receiver Operating Characteristic Curve），该指标可汇总所有可实现的真阳性率与假阳性率组合。（文件格式为XLSX，大小11 KB）
提供机构：
Figshare
创建时间：
2017-12-18
