Machine Learning Within Studies of Early-Life Environmental Exposures and Child Health: Review of the Current Literature and Discussion of Next Steps.

Journal: Current environmental health reports
Published Date:

Abstract

PURPOSE OF REVIEW: The goal of this article is to review the use of machine learning (ML) within studies of environmental exposures and children's health, identify common themes across studies, and provide recommendations to advance their use in research and practice.

Authors

  • Sabine Oskar
    Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th St, Room 1608, New York, NY, 10032, USA.
  • Jeanette A Stingone
    Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, USA.