Speeds up abstract screening
A Research Screener is a Web application that applies machine learning techniques (natural language processing) to semi-automate research article screening. It works by users uploading titles and abstracts of research articles from existing library databases to the Web app then manually screening a portion of these articles (e.g. 100). The Web app actively learns what articles are, or, are not, relevant to the research based on the users screening.
