Systematic Review on Studies Evaluating the Performance of Active Learning within Systematic Reviews
This systematic review focused on synthesizing information on studies that evaluated the performance of Active Learning compared to human reading.
Free and open source software for systematic reviewing.
ASReview uses state-of-the-art active learning techniques to solve one of the most interesting challenges in screening large amounts of text: there’s not enough time to read everything! Learn more about the free and open source software for systematic reviewing: ASReview LAB.
ASReview has grown into a vivid community of researchers, users, and developers from around the world. Join the community today by taking part in discussions, submitting ideas for new features, or by joining the development-fund and support ASReview to continue its open-source mission.
With the smart project setup features, you can start a new project in minutes.
Ready, set, start screening!
How to screen (tens of) thousands of papers by hand for inclusion in your systematic review, meta-analysis, medical guideline, or overview? As truly relevant records are very sparse (often <5%), this is an extremely time-intensive and error-prone task. The research focuses on:
Curious to how this works? See the Nature Machine Intelligence paper or the introduction video.
The Research Team continuously explores and investigates new ways for improvement through simulation studies, use-cases, and more. The team doesn’t do this all alone, but often together with other organizations, research groups, and developers. The findings are published in peer-reviewed journals like Nature Machine Intelligence. By publishing data, scripts and underlying code, all work becomes fully transparent too.
Donations and sponsorships help innovation and development new features. Donations are accepted from both individuals and organizations. Start sponsoring today!