Pinpointing needles in giant haystacks: use of text mining to reduce impractical screening workload in extremely large scoping reviews-Reference-Cited by-同舟云学术

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Pinpointing needles in giant haystacks: use of text mining to reduce impractical screening workload in extremely large scoping reviews

Published:2013-08-23 Issue:1 Volume:5 Page:31-49
ISSN:1759-2879
Container-title:Research Synthesis Methods
language:en
Short-container-title:Res. Syn. Meth.

Author:

Shemilt Ian¹,Simon Antonia²,Hollands Gareth J.¹,Marteau Theresa M.¹,Ogilvie David¹,O'Mara‐Eves Alison³,Kelly Michael P.⁴,Thomas James³

Affiliation:

1. Behaviour and Health Research Unit University of Cambridge Cambridge UK

2. Thomas Coram Research Unit, Department of Children and Health Institute of Education London UK

3. Evidence for Policy and Practice Information and Co‐ordinating Centre, Department of Children and Health Institute of Education London UK

4. Centre for Public Health National Institute for Health and Care Excellence London UK

Publisher

Wiley

Subject

Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jrsm.1093

Reference36 articles.

1. Scoping studies: towards a methodological framework

2. Supporting Systematic Reviews Using Text Mining

3. Unpacking your literature search toolbox: on search styles and tactics

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