Automation of literature screening using machine learning in medical evidence synthesis: a diagnostic test accuracy systematic review protocol.

ABSTRACT:

Background

Systematic review is an indispensable tool for optimal evidence collection and evaluation in evidence-based medicine. However, the explosive increase of the original literatures makes it difficult to accomplish critical appraisal and regular update. Artificial intelligence (AI) algorithms have been applied to automate the literature screening procedure in medical systematic reviews. In these studies, different algorithms were used and results with great variance were reported. It is therefore imperative to systematically review and analyse the developed automatic methods for literature screening and their effectiveness reported in current studies.

Methods

An electronic search will be conducted using PubMed, Embase, ACM Digital Library, and IEEE Xplore Digital Libr

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC8760775 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature