Inverse-probability weighting and multiple imputation for evaluating selection bias in the estimation of childhood obesity prevalence using data from electronic health records.

Carmen Sayon-OreaConchi Moreno-IribasJosu DelfradeManuela Sanchez-EcheniquePilar AmianoEva ArdanazJavier GorrichoGarbiñe BasterraMarian NuinMarcela Guevara

Published in: BMC medical informatics and decision making (2020)

Ages at which well-child visits are scheduled and for the 6 to 9 and 10 to 14 age groups, weight status estimations are similar using complete data, multiple imputation and inverse-probability weighting. Readily available electronic health record data may be a tool to monitor the weight status in children.

Keyphrases

electronic health record
clinical decision support
adverse drug
body mass index
physical activity
young adults
risk factors
mental health
weight gain
machine learning
body weight
deep learning