Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error | Systematic Reviews | Full Text

Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error | Systematic Reviews | Full Text

Featured article: Machine learning algorithms for systematic review

The publication rate of research is exponentially increasing, and synthesising this research is becoming increasingly resource-intensive. This article outlines a method of applying existing machine learning (ML) approaches to aid citation screening in a systematic review of preclinical animal studies. The work confirms the applicability of high-specificity algorithms to the screening of systematic reviews, and highlights a novel use in identifying human errors.
(Bannach-Brown et al., 2019)