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

BACKGROUND: Machine learning tools that semi-automate data extraction may create efficiencies in systematic review production. We prospectively evaluated an online machine learning and text mining tool's ability to (a) automatically extract data elements from randomized trials, and (b) save tim...

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Bibliographic Details
Main Author: Gates, Allison
Corporate Authors: United States Agency for Healthcare Research and Quality, University of Alberta Evidence-based Practice Center
Format: eBook
Language:English
Published: Rockville, MD Agency for Healthcare Research and Quality August 2021, 2021
Series:Methods research report
Online Access:
Collection: National Center for Biotechnology Information - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references