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
pregnancy outcomes
cross sectional
big data
gestational age
body mass index
psychometric properties
artificial intelligence
preterm birth