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Predicting personal PAH exposure using high dimensional questionnaire and wristband data.

Sarah M McLarnanLisa M BramerHolly M DixonRichard P ScottLehyla CaleroDarrell HolmesElizabeth A GibsonHaleigh M CavalierDiana RohlmanRachel L MillerLaurel KinclKatrina M WatersKim A AndersonJulie B Herbstman
Published in: Journal of exposure science & environmental epidemiology (2024)
Regression tree analyses of individual compounds and exposure mixture identified income, time spent outdoors, maternal age, country of birth, transportation type, and season as the variables most frequently predictive of exposure.
Keyphrases
  • physical activity
  • electronic health record
  • cross sectional
  • mental health
  • birth weight
  • pregnancy outcomes
  • gestational age
  • psychometric properties
  • deep learning
  • preterm birth
  • data analysis