A semi-supervised approach using label propagation to support citation screening
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 63970235
- Type
- D - Journal article
- DOI
-
10.1016/j.jbi.2017.06.018
- Title of journal
- Journal of Biomedical Informatics
- Article number
- -
- First page
- 67
- Volume
- 72
- Issue
- 0
- ISSN
- 1532-0464
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
-
A - Computer Science
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "Novel method incorporated into software ""RobotAnalyst"", deployed to support literature screening for systematic reviews.
Robot Analyst has featured in 7 keynotes (SIMBig 2020, 2019; ISMB 2019; IEEE Jordan International Joint Conference on Electrical Engineering and IT 2019; Open Science 2018; CLEF e-Health 2018; and DAMDID/RCDL’2016) and 4 invited talks.
RobotAnalyst now used by NICE, Cochrane, Public Health Wales, and over 250 teams worldwide.
An evolution of the method was incorporated into the ""Systematic Review Facilty"" (SyRF) - a free-to-use online platform for researchers to perform systematic review and meta-analysis of animal studies (developed with Centre for Clinical Brain Studies, Edinburgh)"
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
