bakaburg1/BaySREn: BaySREn. An R package to automatise citation collection and screening in Systematic Reviews. Based on Bayesian active machine learning

Secondary research is of paramount importance to summarise the latest developments in every research field. Nevertheless, conducting a structured collection and analysis of literature (i.e., a Systematic Review) is becoming exceedingly demanding in terms of time and human resources. We propose an integrated framework that streamlines and automates the citation data collection and title/abstract screening phases of Systematic Reviews, limiting human intervention to a minimum. The framework employs automatic citation collection from online scientific databases and importation tools to import citation data collected manually; it uses a Bayesian active machine-learning algorithm to screen relevant citation, requiring human input only at the beginning of the process and to review uncertain classifications. Finally, the framework provides a tool to generate search queries with online scientific databases based on an already labelled corpus of citation data.

install.packages("remotes")
remotes::install_github("bakaburg1/BaySREn")