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

Bioinformatics Methods and Algorithms (12) Machine Learning (1385) Natural Language Processing (644) Ontologies, Classifications, and Coding (225) Digital Health Meta-Research and Bibliographic Studies (32) Tools, Programs and Algorithms (243)

Published on in Vol 10, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29398, first published .
A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation

A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation

A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation

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 ;   Lori-Ann Linkins2 Author Orcid Image ;   Alfonso Iorio1, 2 Author Orcid Image ;   R Brian Haynes1, 2 Author Orcid Image ;   Sophia Ananiadou3, 4 Author Orcid Image ;   Lingyang Chu5 Author Orcid Image ;   Cynthia Lokker1 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

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  5. Shaver N, Katz M, Darko Asamoah G, Linkins L, Abdelkader W, Beck A, Bennett A, Hughes S, Smith M, Begin M, Coyle D, Piggott T, Kagina B, Welch V, Colijn C, Earn D, El Emam K, Heffernan J, O'Brien S, Wilson K, Collins E, Navarro T, Beyene J, Boutron I, Bowdish D, Cooper C, Costa A, Curran J, Griffith L, Hsu A, Grimshaw J, Langlois M, Li X, Pham-Huy A, Raina P, Rubini M, Thabane L, Wang H, Xu L, Brouwers M, Horsley T, Lavis J, Iorio A, Little J. Protocol for a living evidence synthesis on variants of concern and COVID-19 vaccine effectiveness. Vaccine 2023;41(43):6411 View
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