Predicting PFASExposure Risks from Rural PrivateWells Using Integrated Mechanistic and Machine-Learned Bayesian NetworkModels
Journal Article
Overview
publication date
- August 4, 2026
has subject area
- Appalachian Region - North Carolina
- Computing Methodologies - Machine Learning
- Environment and Public Health - Bayes Theorem
- Fluorocarbons
- Groundwater
- Health Care Evaluation Mechanisms - Bayes Theorem
- Investigative Techniques - Bayes Theorem
- Mathematical Concepts - Machine Learning
- Southeastern United States - North Carolina
- Water Pollutants, Chemical
- Water Wells
Date in CU Experts
- July 29, 2026 6:02 AM
Full Author List
- Long HC; Warrier R; Ganta K; Mulhern R; Lillys T; Hoponick Redmon J; Gibson JM
author count
- 7
citation count
- 0
published in
Other Profiles
International Standard Serial Number (ISSN)
- 0013-936X
Electronic International Standard Serial Number (EISSN)
- 1520-5851
Digital Object Identifier (DOI)
Additional Document Info
start page
- 20999
end page
- 21010
volume
- 60
issue
- 30