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Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation of three tools

机译：系统评价筛选机器学习的性能和可用性：三种工具的比较评价

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Allison Gates; Samantha Guitard; Jennifer Pillay; Sarah A. Elliott; Michele P. Dyson; Amanda S. Newton; Lisa Hartling;
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年度 2019
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1. Machine learning for screening prioritization in systematic reviews: comparative performance of Abstrackr and EPPI-Reviewer [J] . Progress in Artificial Intelligence . 2020,第1期

机译：系统评价中筛选优先级的机器学习：Abstrackr和EPPI-Reviewer的比较表现
2. Machine learning for screening prioritization in systematic reviews: comparative performance of Abstrackr and EPPI-Reviewer [J] . Amy Y. Tsou, Jonathan R. Treadwell, Eileen Erinoff, Systematic Reviews . 2020,第1期

机译：用于筛选系统评价优先级的机器学习：Abstrackr和EPPI-Reviewer的比较表现
3. Technology-assisted title and abstract screening for systematic reviews: a retrospective evaluation of the Abstrackr machine learning tool [J] . Allison Gates, Cydney Johnson, Lisa Hartling Systematic Reviews . 2018,第1期

机译：技术辅助的标题和摘要以进行系统的审查：Abstrackr机器学习工具的回顾性评估
4. Machine Learning Assisted Citation Screening for Systematic Reviews [C] . Anjani Dhrangadhariya, Roger Hilfiker, Roger Schaer, Medical Informatics Europe Conference . 2020

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5. Improving the Usability of Static Analysis Tools Using Machine Learning [D] . Koc, Ugur. 2019

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6. Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation of three tools [O] . Allison Gates, Samantha Guitard, Jennifer Pillay, 2019

机译：机器学习在系统评价中筛选的性能和可用性：对三种工具的比较评估
7. Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error [O] . Alexandra Bannach-Brown, Piotr Przybyła, James Thomas, 2019

机译：系统综述机器学习算法：减少动物研究临床前综述中的工作量，减少人类筛查误差

Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation of three tools

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