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Examination of physical activity development in early childhood: protocol for a longitudinal cohort study of mother-toddler dyads.

Sarah B WelchKyle HoneggerMegan O'BrienSelin CapanSoyang Kwon
Published in: BMC pediatrics (2023)
This study will be one of the first to use longitudinal data to validate a machine learning activity recognition algorithm and apply the algorithm to quantify free-living ambulatory movement in toddlers. The study findings will help fill a significant methodological gap in toddler PA measurement and expand the body of knowledge on the factors influencing early childhood PA development.
Keyphrases
  • machine learning
  • physical activity
  • deep learning
  • healthcare
  • big data
  • body mass index
  • blood pressure
  • electronic health record
  • artificial intelligence
  • data analysis