[0][期刊论文][Gunther Eysenbach] [V] [13] [N] [4] [P] [8] [A] Shaikh,Nader] [A Badgett]，Robert G] [A Pi]，Mina] [A Wilczynski]，Nancy L] [A McKibbon]，K。安·A·凯彻姆，安德里亚·M·A·海恩斯，R。Brian %+匹兹堡大学医学院，普通学术儿科，UPMC匹兹堡儿童医院，4401 Penn Avenue, Pittsburgh, PA, 15224，美国，1 412 692 8111,nader.shaikh@chp.edu %K Medline %K filter %K hedge %K临床检查%K递归划分%D 2011 %7 19.10.2011 %9原始论文%J J Med Internet Res %G English %X有效地寻找临床检查研究——量化症状和体征在疾病诊断中的价值的研究——正变得越来越困难。为从Medline检索诊断研究而开发的过滤器缺乏特异性，因为它们也检索了大量关于影像学和实验室检查诊断价值的研究。目的:目的是开发从Medline检索临床检查研究的过滤器。方法:我们在训练数据集中开发过滤器，并在测试数据库中验证它们。我们通过手工检索161种期刊(n = 52,636项研究)创建了训练数据库。我们评估了65个候选单术语过滤器在识别报告训练数据库中症状或体征敏感性和特异性的研究中的召回率和精确度。为了确定这些搜索词的最佳组合，我们使用了递归划分。 The best-performing filters in the training database as well as 13 previously developed filters were evaluated in a testing database (n = 431,120 studies). We also examined the impact of examining reference lists of included articles on recall. Results: In the training database, the single-term filters with the highest recall (95%) and the highest precision (8.4%) were diagnosis[subheading] and “medical history taking”[MeSH], respectively. The multiple-term filter developed using recursive partitioning (the RP filter) had a recall of 100% and a precision of 89% in the training database. In the testing database, the Haynes-2004-Sensitive filter (recall 98%, precision 0.13%) and the RP filter (recall 89%, precision 0.52%) showed the best performance. The recall of these two filters increased to 99% and 94% respectively with review of the reference lists of the included articles. Conclusions: Recursive partitioning appears to be a useful method of developing search filters. The empirical search filters proposed here can assist in the retrieval of clinical examination studies from Medline; however, because of the low precision of the search strategies, retrieving relevant studies remains challenging. Improving precision may require systematic changes in the tagging of articles by the National Library of Medicine. %M 22011384 %R 10.2196/jmir.1826 %U //www.mybigtv.com/2011/4/e82/ %U https://doi.org/10.2196/jmir.1826 %U http://www.ncbi.nlm.nih.gov/pubmed/22011384