Systematically screening large amounts of textual data is time-consuming and often tiresome. The rapidly evolving field of Artificial Intelligence (AI) has allowed the development of AI-aided pipelines that assist in finding relevant texts for search tasks. A well-established approach to increasing efficiency is screening prioritization via Active Learning.
The Active learning for Systematic Reviews (ASReview) project, published in Nature Machine Intelligence implements different machine learning algorithms that interactively query the researcher. ASReview LAB is designed to accelerate the step of screening textual data with a minimum of records to be read by a human with no or very few false negatives. ASReview LAB will save time, increase the quality of output and strengthen the transparency of work when screening large amounts of textual data to retrieve relevant information. Active Learning will support decision-making in any discipline or industry.
ASReview software implements three different modes:
The ASReview software requires Python 3.8 or later. Detailed step-by-step instructions to install Python and ASReview are available for Windows and macOS users.
pip install asreview
Upgrade ASReview with the following command:
pip install --upgrade asreview
To install ASReview LAB with Docker, see Install with Docker.
Getting Started with ASReview LAB.
If you wish to cite the underlying methodology of the ASReview software, please use the following publication in Nature Machine Intelligence:
van de Schoot, R., de Bruin, J., Schram, R. et al. An open source machine learning framework for efficient and transparent systematic reviews. Nat Mach Intell 3, 125–133 (2021). https://doi.org/10.1038/s42256-020-00287-7
For citing the software, please refer to the specific release of the ASReview software on Zenodo https://doi.org/10.5281/zenodo.3345592. The menu on the right can be used to find the citation format of prevalence.
For more scientific publications on the ASReview software, go to asreview.ai/papers.
For an overview of the team working on ASReview, see ASReview Research Team. ASReview LAB is maintained by Jonathan de Bruin and Yongchao Terry Ma.
The best resources to find an answer to your question or ways to get in contact with the team are:
The ASReview software has an Apache 2.0 LICENSE. The ASReview team accepts no responsibility or liability for the use of the ASReview tool or any direct or indirect damages arising out of the application of the tool.
FAQs
ASReview LAB - A tool for AI-assisted systematic reviews
We found that asreview demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.