Prioritising references for systematic reviews with RobotAnalyst: a user study
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 73563634
- Type
- D - Journal article
- DOI
-
10.1002/jrsm.1311
- Title of journal
- Research Synthesis Methods
- Article number
- -
- First page
- 470
- Volume
- 9
- Issue
- 3
- ISSN
- 1759-2879
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2018
- 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
-
7
- Research group(s)
-
A - Computer Science
- Citation count
- 27
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "Novel methods presented/ implemented as RobotAnalyst, a system to automate screening for systematic reviews. Main features include relevance-based prioritisation of documents and active learning.
Keynotes at ISCB/ECCB 2019; Cochrane Japan; Society of Nephrology Japan; SIMBig 2020, 2019; Open Science 2018; CLEF e-Health 2018; DAMDID/RCDL’2016)
Four invited talks e.g. Merck 2020
Users: Cochrane Switzerland and NICE conducted in depth evaluation of system - impact on time/work saving is significant, with up to 71% of screening effort saved. RobotAnalyst is currently used by 250+ teams from 25 countries working on systematic review development and update.
Commercialised by Manchester spinout - Eurimatics Ltd."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
