Summary of Syrocco: Enhancing Systematic Reviews Using Machine Learning, by Zheng Fang et al.
SyROCCo: Enhancing Systematic Reviews using Machine Learning
by Zheng Fang, Miguel Arana-Catania, Felix-Anselm van Lier, Juliana Outes Velarde, Harry Bregazzi, Mara Airoldi, Eleanor Carter, Rob Procter
First submitted to arxiv on: 24 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Computers and Society (cs.CY); Digital Libraries (cs.DL); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Machine learning techniques can significantly aid the systematic review process by automating tasks such as screening, data extraction, and evidence mapping. This paper develops tools to categorize publications, extract key information, connect the evidence base to existing datasets, and identify thematic subgroups. The developed tools were applied to a dataset of 1,952 publications on outcomes-based contracting, demonstrating their utility in enhancing evidence accessibility and analysis. These efforts show promise in reducing the time and resource intensity required for systematic reviewing, potentially yielding substantial efficiencies. Additionally, ML techniques may play a significant role in bridging the gap between research and policy by offering innovative ways to gather, access, and analyze data from systematic reviews. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Machine learning can help make it easier to review many research papers. Researchers used machine learning to create tools that can be used for tasks like sorting through articles, extracting important information, and making connections between different pieces of evidence. They tested these tools on a large collection of papers about outcomes-based contracting and found that they work well. This could make it possible to do systematic reviews more quickly and efficiently in the future. |
Keywords
» Artificial intelligence » Machine learning
