Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews
221
Zitationen
7
Autoren
2020
Jahr
Abstract
The Cochrane RCT Classifier can reduce manual study identification workload for Cochrane Reviews, with a very low and acceptable risk of missing eligible RCTs. This classifier now forms part of the Evidence Pipeline, an integrated workflow deployed within Cochrane to help improve the efficiency of the study identification processes that support systematic review production.
Ähnliche Arbeiten
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
2021 · 86.482 Zit.
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
2009 · 82.861 Zit.
The Measurement of Observer Agreement for Categorical Data
1977 · 77.165 Zit.
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
2009 · 62.983 Zit.
Measuring inconsistency in meta-analyses
2003 · 61.676 Zit.