Learning to identify relevant studies for systematic reviews using random forest and external information
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Currently, a dataset with data from 24 reviews is available and has been used for the validation of several screening tools.
“Currently, a dataset with data from 24 reviews is available and has been used for the validation of several screening tools [24,33,34].”
From A narrative review of recent tools and innovations toward automating living systematic reviews and evidence syntheses (2023) · cites this paper as [34]
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- Authors
- Khabsa, M., Elmagarmid, A., Ilyas, I., Hammady, H., & Ouzzani, M.
- Affiliations
- Pennsylvania State University (US)
- Hamad bin Khalifa University (QA)
- University of Waterloo (CA)
- Corresponding author
- Khabsa, Madian
- Venue
- Machine Learning
- Published
- 2015-10-23
- Volume
- 102
- Issue
- 3
- Pages
- 465-482
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W1851653583
- Cited by
- 98
- References
- 27
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 15 · 2023: 15 · 2022: 11 · 2021: 7 · 2020: 10 · 2019: 10 · 2018: 5 · 2017: 5 · 2016: 3
- FWCI
- 0.72
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Machine Learning (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Computer Science › Artificial Intelligence › Text and Document Classification Technologies
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Keywords
- systematic reviews, study selection, imbalanced classification, random forest, word clustering, feature representation, hyperparameter optimization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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