A new approach to a legacy concern: Evaluating machine-learned Bayesian networks to predict childhood lead exposure risk from community water systems
Journal Article
Overview
publication date
- March 1, 2022
has subject area
- Alkalies - Drinking Water
- Anions - Drinking Water
- Child
- Diet, Food, and Nutrition - Drinking Water
- Elements - Lead
- Environment and Public Health - Bayes Theorem
- Food and Beverages - Drinking Water
- Health Care Evaluation Mechanisms - Bayes Theorem
- Humans
- Investigative Techniques - Bayes Theorem
- Lead Poisoning
- Metals - Lead
- Oxygen Compounds - Drinking Water
- Water Supply
has restriction
- hybrid
Date in CU Experts
- January 28, 2025 2:47 AM
Full Author List
- Mulhern R; Roostaei J; Schwetschenau S; Pruthi T; Campbell C; Gibson JM
author count
- 6
citation count
- 12
published in
- Environmental Research Journal
Other Profiles
International Standard Serial Number (ISSN)
- 0013-9351
Electronic International Standard Serial Number (EISSN)
- 1096-0953
Digital Object Identifier (DOI)
Additional Document Info
volume
- 204
number
- ARTN 112146