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

Bioinformatics Methods and Algorithms (14) Machine Learning (1465) Natural Language Processing (692) Ontologies, Classifications, and Coding (239) Digital Health Meta-Research and Bibliographic Studies (37) Tools, Programs and Algorithms (266)

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
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