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Change in quality of malnutrition surveys between 1986 and 2015.

Emmanuel GrelletyMichael H Golden
Published in: Emerging themes in epidemiology (2018)
Standard methods should be universally used to produce reliable data and tests of data quality and SMART type flagging procedures should be applied and reported to ensure that the data are credible and therefore inform appropriate intervention. Use of SMART guidelines has coincided with reliable anthropometric data since 2007.
Keyphrases
  • electronic health record
  • big data
  • randomized controlled trial
  • cross sectional
  • machine learning
  • quality improvement