Cochrane Centralised Search Service showed high sensitivity identifying randomised controlled trials: A retrospective analysis
Background The Cochrane Central Register of Controlled Trials (CENTRAL) is compiled from a number of sources, including PubMed and Embase. Since 2017, we have increased the number of sources feeding into CENTRAL and improved the efficiency of our processes through the use of APIs, machine learning a...
Hoofdauteurs: | Noel-Storr, AH, Dooley, G, Glanville, J, Thomas, J, Cox, S, Featherstone, R, Foxlee, R |
---|---|
Formaat: | Journal article |
Taal: | English |
Gepubliceerd in: |
Elsevier
2020
|
Gelijkaardige items
-
Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?
door: Julie Glanville, et al.
Gepubliceerd in: (2020-10-01) -
Machine learning reduced workload for the Cochrane COVID-19 Study Register: development and evaluation of the Cochrane COVID-19 Study Classifier
door: Ian Shemilt, et al.
Gepubliceerd in: (2022-01-01) -
Centralisation of services for gynaecological cancers — A Cochrane systematic review
door: Woo, Yin Ling, et al.
Gepubliceerd in: (2012) -
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials.
door: Higgins, J, et al.
Gepubliceerd in: (2011) -
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials
door: Higgins, J, et al.
Gepubliceerd in: (2011)