Software:ASReview
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| Developer(s) | Utrecht University |
|---|---|
| Stable release | Release v0.17.1[1]
/ 23 July 2021 |
| Operating system | OS-independent |
| Platform | Python / React |
| Size | 2.35 MB |
| License | Apache-2.0 |
| Website | asreview |
ASReview is a free and open-source software project written in Python used to aid in screening text and in Systematic reviews. It is maintained and distributed by a research group from Utrecht University. [2] ASReview is currently betaware.
ASReview uses an active learning pipeline to screen large amounts of text. It does so by implementing a Human-in-the-loop system that continuously reorders a stack of records based on relevance scores, as computed by a machine learning model. By reordering the records based on predicted relevance, it finds relevant records quicker than when screening randomly, allowing the researcher to stop earlier in the screening process.[3][4]
CORD-19
ASReview gained popularity during the COVID-19 pandemic, as a tool for researchers to process scientific papers on Covid-19 and related historical coronavirus research.[5] In collaboration with the COVID-19 Open Research Dataset (CORD-19) from the Allen Institute for AI and Semantic Scholar, a CORD-19 plugin was made available for ASReview. [6][7]
External links
References
- ↑ Release v0.17.1
- ↑ van de Schoot, Rens (1 February 2021). "An open source machine learning framework for efficient and transparent systematic reviews.". Nature Machine Intelligence 3 (2): 125–133. doi:10.1038/s42256-020-00287-7. https://www.nature.com/articles/s42256-020-00287-7.
- ↑ "An open-source machine learning framework to carry out systematic reviews" (in en). https://techxplore.com/news/2021-03-open-source-machine-framework-systematic.html.
- ↑ "Software tools for mining COVID-19 research studies go viral among scientists". 23 April 2020. https://www.geekwire.com/2020/software-tools-mining-covid-19-research-studies-go-viral-among-scientists/.
- ↑ "How to make sense of 50,000 coronavirus research papers" (in en). https://fortune.com/2020/04/28/coronavirus-artificial-intelligence-white-house/.
- ↑ Lu Wang, Lucy; Lo, Kyle; Chandrasekhar, Yoganand; Reas, Russell; Yang, Jiangjiang; Eide, Darrin; Funk, Kathryn; Kinney, Rodney et al. (22 April 2020). "CORD-19: The Covid-19 Open Research Dataset". ArXiv. ISSN 2331-8422. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251955/#S17.
- ↑ Extension for COVID-19 related datasets in ASReview. 30 December 2020. doi:10.5281/zenodo.4404621.
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