Obesity Prediction with EHR Data: A deep learning approach with interpretable elements

Understand

Childhood obesity is a major public health challenge.

• Early prediction and identification of the children at a high risk of developing childhood obesity may help in engaging earlier and more effective interventions to prevent and manage obesity.
• Most existing predictive tools for childhood obesity primarily rely on traditional regression-type methods using only a few hand-picked features and without exploiting longitudinal patterns of children data.
• Deep learning methods allow the use of high-dimensional longitudinal datasets.