Date: August 15th, 2015

Key Topic: Lead, Poisoning

Type: Articles, Non-NCHH, Publications

Status: Active

Principle: Contaminant-Free

Audience: Advocates, Healthy Housing Professionals, Local Governments, Medical Providers, Policymakers

Project: LSH

State: Illinois

Predictive Modeling for Public Health: Preventing Childhood Lead PoisoningArticle; KDD ’15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; KDD 15; Eric Potash; Joe Brew; Alexander Loewi; Subhabrata Majumdar; Andrew Reece; Joe Walsh; Eric Rozier; Emile Jorgensen; Raed Mansour; Rayid Ghani; Chicago; Illinois; Chicago Department of Public Health; University of Chicago; University of Minnesota; University of Florida; Harvard University; University of Cincinnati; Carnegie Mellon University; data; lead exposure; 2015; Getting Ahead of Lead: Can Predictive Modeling Help Prevent Childhood Lead Exposure? | Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning