Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error

被引：0
作者：
Alexandra Bannach-Brown
Piotr Przybyła
James Thomas
Andrew S. C. Rice
Sophia Ananiadou
Jing Liao
Malcolm Robert Macleod
机构：
[1] University of Edinburgh,Centre for Clinical Brain Sciences
[2] University of Manchester,National Centre for Text Mining, School of Computer Science
[3] University College London,EPPI
[4] Imperial College,Centre, Department of Social Science
[5] Aarhus University,Pain Research, Department of Surgery and Cancer
[6] Bond University,Translational Neuropsychiatry Unit
来源：
Systematic Reviews | / 8卷
关键词：
Machine learning; Systematic review; Analysis of human error; Citation screening; Automation tools;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 126 条
  • [1] Bornmann L(2015)Growth rates of modern science: a bibliometric analysis based on the number of publications and cited references J Assoc Inf Sci Technol 66 2215-2222
  • [2] Mutz R(2016)SWIFT-review: a text-mining workbench for systematic review Syst Rev 5 87-219
  • [3] Howard BE(2014)Systematic review automation technologies Syst Rev 3 74-669
  • [4] Phillips J(2015)Using text mining for study identification in systematic reviews: a systematic review of current approaches Syst Rev 4 5-253
  • [5] Miller K(2017)Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry BMJ Open 7 e012545-76
  • [6] Tandon A(2006)Reducing workload in systematic review preparation using automated citation classification J Am Med Inform Assoc 13 206-49
  • [7] Mav D(2012)Studying the potential impact of automated document classification on scheduling a systematic review update BMC Med Inform Decis Mak 12 33-742
  • [8] Shah MR(2012)Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining Genetics Med 14 663-27
  • [9] Holmgren S(2014)Reducing systematic review workload through certainty-based screening J Biomed Inform 51 242-2830
  • [10] Pelch KE(2017)A semi-supervised approach using label propagation to support citation screening J Biomed Inform 72 67-872
12345678910