Validation of a Machine Learning Model to Predict Childhood Lead Poisoning.

Journal: JAMA network open
PMID:

Abstract

IMPORTANCE: Childhood lead poisoning causes irreversible neurobehavioral deficits, but current practice is secondary prevention.

Authors

  • Eric Potash
    Harris School of Public Policy, University of Chicago, Chicago, Illinois.
  • Rayid Ghani
    Ian Pan is with the Department of Biostatistics, School of Public Health, Brown University, Providence, RI. Laura B. Nolan is with the Population Research Center, School of Social Work, Columbia University, New York, NY. Rashida R. Brown is with the Division of Epidemiology, School of Public Health, University of California, Berkeley. Romana Khan is with the Kellogg School of Management, Northwestern University, Evanston, IL. Paul van der Boor and Rayid Ghani are with the Center for Data Science and Public Policy, University of Chicago, Chicago, IL. Daniel G. Harris is with the Department of Human Services, Illinois State Government, Chicago.
  • Joe Walsh
    Harris School of Public Policy, University of Chicago, Chicago, Illinois.
  • Emile Jorgensen
    Chicago Department of Public Health, Chicago, Illinois.
  • Cortland Lohff
    Southern Nevada Health District, Las Vegas.
  • Nik Prachand
    Chicago Department of Public Health, Chicago, Illinois.
  • Raed Mansour
    4Chicago Department of Public Health, 333 S State St #200, Chicago, IL 60604 USA.