Systematic reviews performed within the UU and UMC Utrecht
This dataset contains an overview of 117 systematic reviews published by corresponding authors affiliated to Utrecht University (UU) or UMC Utrecht in 2020.
Paper introducing the ASReview project
We show that by using active learning, ASReview can lead to far more efficient reviewing than manual reviewing, while exhibiting adequate quality. Furthermore, the presented software is fully transparent and open source.
Systematic review data about depression
Explore the systematic review dataset that was used for the publication “Psychological theories of depressive relapse and recurrence” from Brouwer et al., 2019. From pre-processing to the final dataset, a look into the complete systematic review process behind this publication.
Systematic review data of Smid et al.
Recreate the simulation study on the systematic review of Smid et al.. From pre-processing to the final dataset, dive into the complete process behind this publication.
Simulation study replicating Smid et al. with active learning
After manually screening 5050 studies, Smid et al included only 27 studies for their review. In the current study, both the Bayesian and logistic regression models found more than 80% of relevant publications after screening only 10% of all publications.
Simulation Study to Determine Defaults
To determine the defaults we performed a simulation study and Naive Bayes + TF-IDF model performed the best.
Researcher-in-the-loop for systematic reviewing
Combining human intelligence and machine learning into Researcher-in-the-loop machine learning. An effective technique for training models.