ASReview: Software for automating systematic reviews

ASReview is software designed to accelerate the process of systematic reviews. It is written in python, and uses deep learning to predict which papers should be most likely included in the review. Our software is designed to accelerate the step of screening abstracts and titles with a minimum of papers to be read by a human with no or very few false negatives.

Automated Systematic Review (ASReview) implements an oracle and a simulation mode.

  • Oracle The oracle modus is used to perform a systematic review with interaction by the reviewer (the ‘oracle’ in literature on active learning). The software presents papers to the reviewer, whereafter the reviewer classifies them.
  • Simulate The simulation modus is used to measure the performance of our software on existing systematic reviews. The software shows how many papers you could have potentially skipped during the systematic review.

The source code is freely available at GitHub.

Indices and tables

Citation

A research paper is upcoming for this project. In the mean time, it can be cited with (fill in x and y for the version number):

ASReview Core Development Team (2019). ASReview: Software for automated systematic reviews [version 0.x.y]. Utrecht University, Utrecht, The Netherlands. Available at https://github.com/msdslab/automated-systematic-review.

@Manual{
        title = {ASReview: Software for automated systematic reviews},
        author = {{ASReview Core Development Team}},
        organization = {Utrecht University},
        address = {Utrecht, The Netherlands},
        year = 2019,
        url = {https://pypi.org/project/asreview/}
}