Machine learning methods in systematic reviews identifying quality improvement intervention evaluations

BACKGROUND: Electronic searches typically yield far more citations than are relevant, and reviewers spend a substantial amount of time screening titles and abstracts to identify potential studies eligible for inclusion in a review. This is of particular relevance in complex research fields such as q...

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Bibliographic Details
Main Author: Hempel, Susanne
Corporate Authors: United States Agency for Healthcare Research and Quality, Southern California Evidence-Based Practice Center/RAND.
Format: eBook
Language:English
Published: Rockville, MD Agency for Healthcare Research and Quality [2012], 2012
Series:Research white papers
Subjects:
Online Access:
Collection: National Center for Biotechnology Information - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references