Automation of Citation Screening for Systematic Literature Reviews Using Neural Networks: A Replicability Study-Reference-Cited by-同舟云学术

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Automation of Citation Screening for Systematic Literature Reviews Using Neural Networks: A Replicability Study

Published:2022 Issue: Volume: Page:584-598
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Kusa Wojciech^ORCID,Hanbury Allan^ORCID,Knoth Petr^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-99736-6_39

Reference25 articles.

1. Abadi, M., et al.: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (2015). https://research.google/pubs/pub45166/

2. Bannach-Brown, A., et al.: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error. Syst. Rev. 8(1), 1–12 (2019). https://doi.org/10.1186/S13643-019-0942-7, https://systematicreviewsjournal.biomedcentral.com/articles/10.1186/s13643-019-0942-7

3. Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with Subword information. Trans. Assoc. Comput. Linguist. 5, 135–146 (2017). https://doi.org/10.1162/tacl_a_00051, http://arxiv.org/abs/1607.04606

4. Borah, R., Brown, A.W., Capers, P.L., Kaiser, K.A.: Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry (2017). https://doi.org/10.1136/bmjopen-2016-012545, http://bmjopen.bmj.com/

5. Cohen, A.M., Hersh, W.R., Peterson, K., Yen, P.Y.: Reducing workload in systematic review preparation using automated citation classification. J. Am. Med. Inf. Assoc. 13(2), 206–219 (2006). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1447545/

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