Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error
Author:
Funder
Wellcome Trust
Publisher
Springer Science and Business Media LLC
Subject
Medicine (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1186/s13643-019-0942-7.pdf
Reference45 articles.
1. Bornmann L, Mutz R. Growth rates of modern science: a bibliometric analysis based on the number of publications and cited references. J Assoc Inf Sci Technol. 2015;66(11):2215–22.
2. Cohen AM, Adams CE, Davis JM, Yu C, Yu PS, Meng W, et al. Evidence-based medicine, the essential role of systematic reviews, and the need for automated text mining tools. In: Proceedings of the 1st ACM international Health Informatics Symposium: ACM; 2010. p. 376–80.
3. Howard BE, Phillips J, Miller K, Tandon A, Mav D, Shah MR, Holmgren S, Pelch KE, Walker V, Rooney AA, Macleod M. SWIFT-review: a text-mining workbench for systematic review. Syst Rev. 2016;5(1):87.
4. Tsafnat G, Glasziou P, Choong MK, Dunn A, Galgani F, Coiera E. Systematic review automation technologies. Syst Rev. 2014;3(1):74.
5. O’Mara-Eves A, Thomas J, McNaught J, Miwa M, Ananiadou S. Using text mining for study identification in systematic reviews: a systematic review of current approaches. Syst Rev. 2015;4(1):5.
Cited by 112 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Harnessing artificial intelligence for efficient systematic reviews: A case study in ecosystem condition indicators;Ecological Informatics;2024-11
2. A Systematic Online Living Evidence Summary of experimental Alzheimer’s disease research;Journal of Neuroscience Methods;2024-09
3. Chatting with Pythons: using ChatGPT and Python computer code to screen abstracts for systematic literature reviews in complex disciplines;2024-08-26
4. Human-Comparable Sensitivity of Large Language Models in Identifying Eligible Studies Through Title and Abstract Screening: 3-Layer Strategy Using GPT-3.5 and GPT-4 for Systematic Reviews;Journal of Medical Internet Research;2024-08-16
5. Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review;Artificial Intelligence Review;2024-07-09
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3