使用文本挖掘单词频率工具 (PubReMiner) 构建的搜索策略的灵敏度和精度与构建搜索策略的当前最佳实践相比:在审查中的研究 (SWAR)
Andrew Dullea1,2, Marie Carrigan2, Lydia O'Sullivan2,3
1Discipline of Public Health & Primary Care, School of Medicine, Trinity College Dublin, The University of Dublin Dublin Co. Dublin Ireland.
Cochrane evidence synthesis and methods
|February 20, 2026
概括
PubReMiner 文本挖掘工具在开发搜索策略方面表现不一致. 传统的图书馆员开发的策略通常为证据综合提供更好的灵敏度和精度.
科学领域:
- 信息科学 信息科学 信息科学
- 医疗信息学 医疗信息学
- 证据综合 证据综合
背景情况:
- 像PubReMiner这样的文本挖掘工具分析引用数据的单词频率.
- 评估自动化工具与传统方法的有效性对于研究实践至关重要.
研究的目的:
- 将PubReMiner生成的搜索策略的灵敏度和精度与图书馆员开发的传统策略进行比较.
- 评估PubReMiner在开发系统审查的搜索策略中的效率和一致性.
主要方法:
- 一项涉及12项证据综合审查的比较研究.
- 开发使用PubReMiner和传统图书馆专业知识的MEDLINE搜索策略.
- 评估主要结果:灵敏度,精度和二次结果,包括构建策略的时间.
主要成果:
- 与传统方法相比,PubReMiner策略的灵敏度通常较低,尽管有一例显示灵敏度更高.
- 在搜索方法之间观察到敏感度的统计学上显著差异 (p=0.0065).
- 没有发现精度的显著差异;PubReMiner策略更快,但执行不一致.
结论:
- PubReMiner提供了效率,但其不一致的性能限制了其取代传统搜索策略的能力.
- 该研究强调了图书馆员专业知识的重要性,并建议进一步评估像PubReMiner这样的工具,用于证据综合中的特定应用.
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