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Deriving Weight From Big Data: Comparison of Body Weight Measurement-Cleaning Algorithms.

Richard R EvansJennifer A BurnsLaura J DamschroderAnn AnnisMichelle B FreitagSusan D RaffaWyndy Wiitala
Published in: JMIR medical informatics (2022)
Contrasting algorithms provide similar results and, in some cases, the results are not different from using raw, unprocessed data despite algorithm complexity. Studies using point estimates of weight may benefit from a simple cleaning rule based on cutoffs of implausible values; however, research questions involving weight trajectories and other, more complex scenarios may benefit from a more nuanced algorithm that considers all available weight data.
Keyphrases
  • big data
  • machine learning
  • body weight
  • artificial intelligence
  • deep learning
  • body mass index
  • weight loss
  • physical activity
  • weight gain
  • electronic health record
  • climate change
  • neural network
  • clinical evaluation