Machine learning in systematic reviews: Comparing automated text clustering with Lingo3G and human researcher categorization in a rapid review.

导出 LinkOut

翻译打印收藏纠错

作者： Ashley Elizabeth,Muller ^[1] ; Heather Melanie R,Ames ^[1] ; Patricia Sofia Jacobsen,Jardim ^[2] ; Christopher James,Rose ^[1]

作者单位： Norwegian Institute of Public Health, Skøyen, Norway. ^[1] Cochrane Consumer and Communication Group, Centre for Health Communication and Participation, School of Psychology and Public Health, La Trobe University, Bundoora, Victoria, Australia. ^[2]

关键词 Lingo3G clustering machine learning scoping reviews systematic review

主题词算法(Algorithms);聚类分析(Cluster Analysis);人类(Humans);研究设计(Research Design)

DOI 10.1002/jrsm.1541

PMID 34919321

发布时间 2022-03-11

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Research synthesis methods

2022年13卷2期

229-241页

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

Machine learning in systematic reviews: Comparing automated text clustering with Lingo3G and human researcher categorization in a rapid review.

Research synthesis methods

相似文献

Research synthesis methods

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Machine learning in systematic reviews: Comparing automated text clustering with Lingo3G and human researcher categorization in a rapid review.

Research synthesis methods

相似文献

Research synthesis methods

相关期刊

检索历史清除