Text Classification Data from 15 Drug Class Review SLR Studies

These datasets are derived from the data provided and originally used by: Cohen A.M., Hersh W.R., Peterson K., Yen P.-Y. (2006): Reducing workload in systematic review preparation using automated citation classification. <em>Journal of the American Medical Informatics Association</em>, 13: 206–219. The original data file is available from https://dmice.ohsu.edu/cohenaa/systematic-drug-class-review-data.html and contains PubMed IDs of articles labeled as relevant or irrelevant to 15 study topics, based on human evaluation of abstracts and full texts. The derived data provided here contains 15 datasets corresponding to these study topics and contain: article PubMed IDs, abstracts retrieved from MEDLINE-exported files for the TREC 2004 Genomics Track, available from https://dmice.ohsu.edu/trec-gen/2004data.html, relevant/irrelevant class labels based on human abstract evaluation. Articles for which no matching abstracts could be found are ommitted. The size and class distribution of the datasets differ from those presented by Cohen et al. (2006) due to possible changes of the MEDLINE records or differences in the matching procedure.本数据集衍生自Cohen A.M.、Hersh W.R.、Peterson K.、Yen P.-Y.（2006）曾使用的原始研究数据，其对应研究为《使用自动化引文分类降低系统综述准备工作负荷》，发表于《美国医学信息学协会期刊》（Journal of the American Medical Informatics Association），卷13，页码206–219。 原始数据文件可从https://dmice.ohsu.edu/cohenaa/systematic-drug-class-review-data.html获取，其中包含针对15个研究主题被标记为相关或不相关的文献PubMed标识符（PubMed ID），标注依据为人工对文献摘要及全文的评估结果。 本次提供的衍生数据集包含对应这15个研究主题的15个子数据集，具体内容涵盖：文献PubMed标识符（PubMed ID）、从MEDLINE导出文件中获取的摘要（该数据源自TREC 2004基因组追踪赛道（TREC 2004 Genomics Track），可从https://dmice.ohsu.edu/trec-gen/2004data.html获取），以及基于人工摘要评估得到的相关/不相关分类标签。 未匹配到对应摘要的文献已被剔除。 由于MEDLINE记录可能发生变更，或匹配流程存在差异，本数据集的规模及类别分布与Cohen等人（2006）发表的原始版本有所不同。