B1833
Title: Towards automated biomedical evidence synthesis: RobitReviewer
Authors: Byron Wallace - Northeastern University (United States)
Iain Marshall - King\'s College London (United Kingdom) [presenting]
Abstract: RobotReviewer is presented, an open-source web-based system that uses machine learning and natural language processing (NLP) to semi-automate biomedical evidence synthesis, to aid the practice of Evidence-Based Medicine. RobotReviewer processes full-text journal articles (PDFs) describing randomized controlled trials (RCTs). It appraises the reliability of RCTs and extracts text describing key trial characteristics (e.g., descriptions of the population) using novel statistical NLP methods. RobotReviewer then automatically generates a report synthesising this information. Our goal is for RobotReviewer to automatically extract and synthesise the full-range of structured data needed to inform evidence-based practice.
