Journal article
Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review
Abstract
BACKGROUND: The rapid growth of the biomedical literature makes identifying strong evidence a time-consuming task. Applying machine learning to the process could be a viable solution that limits effort while maintaining accuracy.
OBJECTIVE: The goal of the research was to summarize the nature and comparative performance of machine learning approaches that have been applied to retrieve high-quality evidence for clinical consideration from the …
Authors
Abdelkader W; Navarro T; Parrish R; Cotoi C; Germini F; Iorio A; Haynes RB; Lokker C
Journal
JMIR Medical Informatics, Vol. 9, No. 9,
Publisher
JMIR Publications
DOI
10.2196/30401
ISSN
2291-9694