Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach
- Submitting institution
-
King's College London
- Unit of assessment
- 2 - Public Health, Health Services and Primary Care
- Output identifier
- 123180987
- Type
- D - Journal article
- DOI
-
10.1093/jamia/ocx053
- Title of journal
- Journal of the American Medical Informatics Association
- Article number
- -
- First page
- 1165
- Volume
- 24
- Issue
- 6
- ISSN
- 1067-5027
- Open access status
- Compliant
- Month of publication
- May
- 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
-
5
- Research group(s)
-
-
- Citation count
- 23
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
