Creating efficiencies in the extraction of data from randomized trials: a prospective evaluation of a machine learning and text mining tool

Creating efficiencies in the extraction of data from randomized trials: a prospective evaluation of a machine learning and text mining tool

Abstract Background Machine learning tools that semi-automate data extraction may create efficiencies in systematic review production. We evaluated a machine learning and text mining tool’s ability to (a) automatically extract data elements from randomized trials, and (b) save time compared with man...

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Bibliographic Details
Main Authors: Allison Gates, Michelle Gates, Shannon Sim, Sarah A. Elliott, Jennifer Pillay, Lisa Hartling
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Medical Research Methodology
Subjects:
Data collection
Machine learning
Text mining
Efficiency
Systematic reviews
Clinical trials
Online Access:https://doi.org/10.1186/s12874-021-01354-2

Internet

https://doi.org/10.1186/s12874-021-01354-2

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