Literature DB >> 28605762

Machine Learning Versus Standard Techniques for Updating Searches for Systematic Reviews: A Diagnostic Accuracy Study.

Paul G Shekelle1, Kanaka Shetty1, Sydne Newberry1, Margaret Maglione1, Aneesa Motala1.   

Abstract

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Year:  2017        PMID： 28605762     DOI： 10.7326/L17-0124

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN： 0003-4819            Impact factor:   25.391


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3.  Trial2rev: Combining machine learning and crowd-sourcing to create a shared space for updating systematic reviews.

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4.  Comparison of a traditional systematic review approach with review-of-reviews and semi-automation as strategies to update the evidence.

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Review 5.  Safe Healthcare Facilities: A Systematic Review on the Costs of Establishing and Maintaining Environmental Health in Facilities in Low- and Middle-Income Countries.

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Journal:  Int J Environ Res Public Health       Date:  2021-01-19       Impact factor: 3.390

6.  The automation of relevant trial registration screening for systematic review updates: an evaluation study on a large dataset of ClinicalTrials.gov registrations.

Authors:  Didi Surian; Florence T Bourgeois; Adam G Dunn
Journal:  BMC Med Res Methodol       Date:  2021-12-18       Impact factor: 4.615

7.  Decoding semi-automated title-abstract screening: findings from a convenience sample of reviews.

Authors:  Allison Gates; Michelle Gates; Daniel DaRosa; Sarah A Elliott; Jennifer Pillay; Sholeh Rahman; Ben Vandermeer; Lisa Hartling
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