Machine Learning Techniques for Prediction of Early Childhood Obesity.

Journal: Applied clinical informatics
Published Date:

Abstract

OBJECTIVES: This paper aims to predict childhood obesity after age two, using only data collected prior to the second birthday by a clinical decision support system called CHICA.

Authors

  • T M Dugan
    Indiana University , Children's Health Services Research, Indianapolis, IN, United States ; Indiana University Purdue University Indianapolis , Computer Science, Indianapolis, IN, United States.
  • S Mukhopadhyay
    Indiana University Purdue University Indianapolis , Computer Science, Indianapolis, IN, United States.
  • A Carroll
    Indiana University , Children's Health Services Research, Indianapolis, IN, United States.
  • S Downs
    Indiana University , Children's Health Services Research, Indianapolis, IN, United States.