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

Search Strategies and Retrieval for Systematic Reviews (13) Machine Learning (2074) Artificial Intelligence (2123) Mindfulness and Meditation (266) Reviews in Digital Mental Health (289) Development and Evaluation of Research Methods, Instruments and Tools (743) Tools, Programs and Algorithms (376)

Published on in Vol 10, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26448, first published .
Automation of Article Selection Process in Systematic Reviews Through Artificial Neural Network Modeling and Machine Learning: Protocol for an Article Selection Model

Automation of Article Selection Process in Systematic Reviews Through Artificial Neural Network Modeling and Machine Learning: Protocol for an Article Selection Model

Automation of Article Selection Process in Systematic Reviews Through Artificial Neural Network Modeling and Machine Learning: Protocol for an Article Selection Model

Authors of this article:

Gabriel Ferraz Ferreira1 Author Orcid Image ;   Marcos Gonçalves Quiles1 Author Orcid Image ;   Tiago Santana Nazaré2 Author Orcid Image ;   Solange Oliveira Rezende2 Author Orcid Image ;   Marcelo Demarzo1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

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  1. Devane D, Burke N, Treweek S, Clarke M, Thomas J, Booth A, Tricco A, Saif‐Ur‐Rahman K. Study within a review (SWAR). Journal of Evidence-Based Medicine 2022;15(4):328 View
  2. Maake G, Mathekgane E. Perceptions of artificial intelligence on the future of employees' job security in Africa: secondary data analysis. International Journal of Business Ecosystem & Strategy (2687-2293) 2025;7(2):128 View
  3. Hida G, Alves Do Nascimento A. Overview of machine learning in class imbalance scenarios: Trends, challenges, and approaches. Expert Systems with Applications 2026;298:129592 View
  4. Matysik S, Wiśniewska J, Frankowski P. EmbedSLR: an open-source python framework for efficient embedding-based screening and bibliometric validation in systematic literature review. SoftwareX 2025;32:102416 View