This paper is in the following e-collection/theme issue:

Machine Learning (2032) Natural Language Processing (893) Decision Support for Health Professionals (1510) Information Retrieval (345) Artificial Intelligence (2060) Epublishing and Open Access (102) Knowledge Translation and Implementation Science (499)

Published on in Vol 9, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30401, first published .
Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review

Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review

Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review

Authors of this article:

Wael Abdelkader1 Author Orcid Image ;   Tamara Navarro1 Author Orcid Image ;   Rick Parrish1 Author Orcid Image ;   Chris Cotoi1 Author Orcid Image ;   Federico Germini1, 2 Author Orcid Image ;   Alfonso Iorio1, 2 Author Orcid Image ;   R Brian Haynes1, 2 Author Orcid Image ;   Cynthia Lokker1 Author Orcid Image
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