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Systematic review using a spiral approach with machine learning
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Systematic review using a spiral approach with machine learning (2024)Systematic review using a spiral approach…Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records (2023)Performance of active learnin…The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an…Text mining to support abstract screening for knowledge syntheses: a semi-automated workflow (2021)Text mining to support abstra…Automation of systematic literature reviews: A systematic literature review (2021)Automation of systematic lite…An open source machine learning framework for efficient and transparent systematic reviews (2021)An open source machine learni…Statistical stopping criteria for automated screening in systematic reviews (2020)Statistical stopping criteria…Are Ideas Getting Harder to Find? 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References

  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews107,380 cited
  • 2015Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references1,570 cited
  • 2021An open source machine learning framework for efficient and transparent systematic reviews1,149 cited
  • 2020Are Ideas Getting Harder to Find?999 cited
  • 2017Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry733 cited
  • 2016The GRoLTS-Checklist: Guidelines for Reporting on Latent Trajectory Studies721 cited
  • 2011Improving national cultural indices using a longitudinal meta-analysis of Hofstede's dimensions492 cited
  • 2021Automation of systematic literature reviews: A systematic literature review430 cited
  • 2005Reducing Workload in Systematic Review Preparation Using Automated Citation Classification410 cited
  • 2019Long-term Outcomes of Cognitive Behavioral Therapy for Anxiety-Related Disorders334 cited
  • 2015Faster title and abstract screening? Evaluating Abstrackr, a semi-automated online screening program for systematic reviewers184 cited
  • 2020An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes139 cited
  • 2020Statistical stopping criteria for automated screening in systematic reviews121 cited

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  • 2018Accelerating Human-in-the-loop Machine Learning120 cited
  • 2023Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records96 cited
  • 2021Text mining to support abstract screening for knowledge syntheses: a semi-automated workflow63 cited
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