Simulation Study Switching between Models
This systematic review focused on synthesizing information on studies that evaluated the performance of Active Learning compared to human reading.
Simulation Study on Risk Analysis Documents
ASReview conducted a simulation study on risk analysis documents to evaluate the time-benefit for the Royal Dutch Pharmacists Association.
The Mega Meta project: Substance use, anxiety and depression
The MegaMeta project is a large scale project to review factors that contribute to substance use, anxiety and depressive disorders. Read more information on the search and screening protocol, hyperparameter tuning and post-processing used in this post.
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.
Systematic Review on the Implementation of AI-aided Systematic Reviews in Clinical Guideline Development
The ASReview research team conducted a systematic review on the implementation of AI-aided Systematic Reviews within Clinical Guideline Development.
AI-aided literature screening in medical guideline development
In a time of exponential growth of new evidence supporting clinical decision making, combined with a labor-intensive process of selecting this evidence, there is a need for methods to speed up current processes in order to keep medical guidelines up-to-date.
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.
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.