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A Statistical Approach for Identifying Private Wells Susceptible to Perfluoroalkyl Substances (PFAS) Contamination
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ieam.258openalex-snapshot
Perfluoroalkyl and polyfluoroalkyl substances in the environment: Terminology, classification, and origins
inferredcites →https://doi.org/10.1007/978-1-4614-7138-7openalex-snapshot
An Introduction to Statistical Learning
inferredcites →https://doi.org/10.1007/978-3-642-29216-3_74openalex-snapshot
Evaluation of Classifier Models Using Stratified Tenfold Cross Validation Techniques
inferredcites →https://doi.org/10.1007/978-981-4585-18-7_2openalex-snapshot
An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets
inferredcites →https://doi.org/10.1007/s10040-018-1900-5openalex-snapshot
Application of random forest regression and comparison of its performance to multiple linear regression in modeling groundwater nitrate concentration at the African continent scale
inferredcites →https://doi.org/10.1016/j.ijheh.2018.02.007openalex-snapshot
Per- and polyfluoroalkyl substance (PFAS) exposure assessment in a community exposed to contaminated drinking water, New Hampshire, 2015
inferredcites →https://doi.org/10.1016/j.jhazmat.2021.125075openalex-snapshot
Predicting the risk of GenX contamination in private well water using a machine-learned Bayesian network model
inferredcites →https://doi.org/10.1016/j.jhydrol.2015.10.025openalex-snapshot
A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA
inferredcites →https://doi.org/10.1016/j.patrec.2005.10.010openalex-snapshot
An introduction to ROC analysis
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.145427openalex-snapshot
Fate and transport of per- and polyfluoroalkyl substances (PFASs) in the vadose zone
inferredcites →https://doi.org/10.1021/acs.est.0c05239openalex-snapshot
Machine Learning Models of Arsenic in Private Wells Throughout the Conterminous United States As a Tool for Exposure Assessment in Human Health Studies
inferredcites →https://doi.org/10.1021/acs.est.0c06740openalex-snapshot
Machine-Learning Predictions of High Arsenic and High Manganese at Drinking Water Depths of the Glacial Aquifer System, Northern Continental United States
inferredcites →https://doi.org/10.1021/acs.est.0c07202openalex-snapshot
Sorption of PFOS in 114 Well-Characterized Tropical and Temperate Soils: Application of Multivariate and Artificial Neural Network Analyses
inferredcites →https://doi.org/10.1021/acs.est.0c07296openalex-snapshot
Isolating the AFFF Signature in Coastal Watersheds Using Oxidizable PFAS Precursors and Unexplained Organofluorine
inferredcites →https://doi.org/10.1021/acs.est.6b05573openalex-snapshot
Geochemical and Hydrologic Factors Controlling Subsurface Transport of Poly- and Perfluoroalkyl Substances, Cape Cod, Massachusetts
inferredcites →https://doi.org/10.1021/acs.est.7b02881openalex-snapshot
Estimating the High-Arsenic Domestic-Well Population in the Conterminous United States
inferredcites →https://doi.org/10.1021/acs.est.9b07384openalex-snapshot
Evidence of Air Dispersion: HFPO–DA and PFOA in Ohio and West Virginia Surface Water and Soil near a Fluoropolymer Production Facility
inferredcites →https://doi.org/10.1021/acs.estlett.0c00713openalex-snapshot
Population-Wide Exposure to Per- and Polyfluoroalkyl Substances from Drinking Water in the United States
inferredcites →https://doi.org/10.1021/acs.estlett.6b00255openalex-snapshot
Source Attribution of Poly- and Perfluoroalkyl Substances (PFASs) in Surface Waters from Rhode Island and the New York Metropolitan Area
inferredcites →https://doi.org/10.1021/acs.estlett.6b00260openalex-snapshot
Detection of Poly- and Perfluoroalkyl Substances (PFASs) in U.S. Drinking Water Linked to Industrial Sites, Military Fire Training Areas, and Wastewater Treatment Plants
inferredcites →https://doi.org/10.1021/es060911uopenalex-snapshot
Vulnerability of Shallow Groundwater and Drinking-Water Wells to Nitrate in the United States
inferredcites →https://doi.org/10.1021/es102769topenalex-snapshot
Environmental Fate and Transport Modeling for Perfluorooctanoic Acid Emitted from the Washington Works Facility in West Virginia
inferredcites →https://doi.org/10.1021/es3048043openalex-snapshot
Subsurface Transport Potential of Perfluoroalkyl Acids at Aqueous Film-Forming Foam (AFFF)-Impacted Sites
inferredcites →https://doi.org/10.1021/es405452qopenalex-snapshot
Modeling Nitrate at Domestic and Public-Supply Well Depths in the Central Valley, California
inferredcites →https://doi.org/10.1021/es702859eopenalex-snapshot
Statistical Modeling of Global Geogenic Arsenic Contamination in Groundwater
inferredcites →https://doi.org/10.1029/2010gl046427openalex-snapshot
Classifying the water table at regional to continental scales
inferredcites →https://doi.org/10.1039/c1ay05190copenalex-snapshot
Method for the determination of perfluorinated compounds (PFCs) in water by solid-phase extraction and liquid chromatography/tandem mass spectrometry (LC/MS/MS)
inferredcites →https://doi.org/10.1039/d0em00427hopenalex-snapshot
PFAS soil and groundwater contamination via industrial airborne emission and land deposition in SW Vermont and Eastern New York State, USA
inferredcites →https://doi.org/10.1080/095281300146272openalex-snapshot
Distribution-balanced stratified cross-validation for accuracy estimation
inferredcites →https://doi.org/10.1136/oemed-2017-104651openalex-snapshot
Half-lives of PFOS, PFHxS and PFOA after end of exposure to contaminated drinking water
inferredcites →https://doi.org/10.1186/s12940-015-0032-9openalex-snapshot
Structural equation modeling of immunotoxicity associated with exposure to perfluorinated alkylates
inferredcites →https://doi.org/10.1186/s12940-019-0513-3openalex-snapshot
Making the invisible visible: results of a community-led health survey following PFAS contamination of drinking water in Merrimack, New Hampshire
inferredcites →https://doi.org/10.1289/ehp.10598openalex-snapshot
Polyfluoroalkyl Chemicals in the U.S. Population: Data from the National Health and Nutrition Examination Survey (NHANES) 2003–2004 and Comparisons with NHANES 1999–2000
inferredcites →https://doi.org/10.1289/ehp.1205829openalex-snapshot
Perfluorooctanoic Acid Exposure and Cancer Outcomes in a Contaminated Community: A Geographic Analysis
inferredcites →https://doi.org/10.1289/ehp629openalex-snapshot
The Case for Universal Screening of Private Well Water Quality in the U.S. and Testing Requirements to Achieve It: Evidence from Arsenic
inferredcites →https://doi.org/10.3133/cir1441openalex-snapshot
Estimated use of water in the United States in 2015
inferredcites →https://doi.org/10.3133/ofr03311openalex-snapshot
Estimated mean annual natural ground-water recharge in the conterminous United States
inferredcites →https://doi.org/10.3133/sir20125065openalex-snapshot
Predicted nitrate and arsenic concentrations in basin-fill aquifers of the Southwestern United States
inferredcites →https://doi.org/10.32614/cran.package.randomforestopenalex-snapshot
randomForest: Breiman and Cutlers Random Forests for Classification and Regression
inferredcites →https://doi.org/10.3390/ijerph120606098openalex-snapshot
Serum Biomarkers of Exposure to Perfluoroalkyl Substances in Relation to Serum Testosterone and Measures of Thyroid Function among Adults and Adolescents from NHANES 2011–2012
inferredcites →https://doi.org/10.3390/ijerph14070691openalex-snapshot
Exposure to Perfluorinated Alkyl Substances and Health Outcomes in Children: A Systematic Review of the Epidemiologic Literature
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Impact of Contaminants in Soils from Important Bird and Biodiversity Areas
inferred← citeshttps://doi.org/10.1002/aws2.1262openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/wat2.70033openalex-snapshot
A Call for a Unified Database to Address Exposure Disparities in the United States
inferred← citeshttps://doi.org/10.1007/978-3-031-71758-1_9openalex-snapshot
Emerging Contaminants in Groundwater: Challenges, Management, and Policy Perspectives
inferred← citeshttps://doi.org/10.1007/s00204-024-03843-xopenalex-snapshot
Monitoring of per- and polyfluoroalkyl substances (PFAS) in human blood samples collected in three regions with known PFAS releases in the environment and three control regions in South Germany
inferred← citeshttps://doi.org/10.1007/s11157-026-09794-2openalex-snapshot
Vadose zone interfacial dynamics dictating per- and polyfluoroalkyl substances (PFAS) detection, transport, and remediation: a review
inferred← citeshttps://doi.org/10.1007/s11356-024-35274-7openalex-snapshot
Impact of organic contaminants in soils from Important Bird and Biodiversity areas
inferred← citeshttps://doi.org/10.1007/s11783-022-1571-2openalex-snapshot
Interaction and combined toxicity of microplastics and per- and polyfluoroalkyl substances in aquatic environment
inferred← citeshttps://doi.org/10.1007/s40572-022-00389-xopenalex-snapshot
The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities
inferred← citeshttps://doi.org/10.1016/b978-0-443-30010-3.00003-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.chemosphere.2025.144287openalex-snapshot
Assessing presence of per- and polyfluoroalkyl substances (PFAS) in the Indian River Lagoon: A Bayesian approach to understanding the impact of environmental stressors
inferred← citeshttps://doi.org/10.1016/j.coche.2023.100983openalex-snapshot
Machine learning-based modeling and analysis of perfluoroalkyl and polyfluoroalkyl substances controlling systems in protecting water resources
inferred← citeshttps://doi.org/10.1016/j.coesh.2026.100705openalex-snapshot
Environmental risks associated with PFAS contamination in water: Challenges and emerging management strategies
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112746openalex-snapshot
Graph neural networks for per- and poly-fluoroalkyl substances concentration prediction in water supply wells
inferred← citeshttps://doi.org/10.1016/j.envint.2025.109290openalex-snapshot
Ecological risks of PFAS in China’s surface water: A machine learning approach
inferred← citeshttps://doi.org/10.1016/j.envpol.2026.128464openalex-snapshot
Machine learning–fugacity framework reveals the fate and environmental drivers of per- and polyfluoroalkyl substances in a mountainous river
inferred← citeshttps://doi.org/10.1016/j.envpol.2026.128849openalex-snapshot
Assessing features of PFAS groundwater occurrence using SHAP-enhanced machine learning
inferred← citeshttps://doi.org/10.1016/j.envres.2026.124005openalex-snapshot
Seasonal dynamics of emerging and legacy PFAS in the Beibu Gulf: Insights from a combined source apportionment and predictive modeling approach
inferred← citeshttps://doi.org/10.1016/j.eti.2026.105216openalex-snapshot
Mapping PFAS contamination risk with recall-optimized machine learning in the United States of America
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Enhancing PFAS data integrity: An LLM-based FAIR+Environmental principle for improved evaluation of environmental contaminants and related constituent databases
inferred← citeshttps://doi.org/10.1016/j.jece.2024.115114openalex-snapshot
Per- and poly fluorinated substances: The poison in our waters – A call to action for India's aquatic future
inferred← citeshttps://doi.org/10.1016/j.jenvman.2025.125863openalex-snapshot
Geospatial and socioeconomic factors of PFAS contamination in private drinking water wells: Insights for monitoring and management
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2025.140934openalex-snapshot
Towards smart PFAS management: Integrating artificial intelligence in water and wastewater systems
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2026.142518openalex-snapshot
Machine learning for the spatial prediction of soil and groundwater contamination: An integrative global review
inferred← citeshttps://doi.org/10.1016/j.jwpe.2025.106941openalex-snapshot
Transforming PFAS management: A critical review of machine learning applications for enhanced monitoring and treatment
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Marine mammals as global bioindicators of PFAS pollution: A review of advanced analytical methods and machine learning for source apportionment
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.171229openalex-snapshot
An artificial intelligence platform for automated PFAS subgroup classification: A discovery tool for PFAS screening
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.174973openalex-snapshot
Advancing groundwater quality predictions: Machine learning challenges and solutions
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2025.179536openalex-snapshot
Advancements in artificial intelligence-based technologies for PFAS detection, monitoring, and management
inferred← citeshttps://doi.org/10.1016/j.watres.2023.120307openalex-snapshot
Large-scale assessment of PFAS compounds in drinking water sources using machine learning
inferred← citeshttps://doi.org/10.1016/j.watres.2025.124015openalex-snapshot
High-resolution source apportionment and spatiotemporal drivers of per- and polyfluoroalkyl substances (PFAS) across China’s largest river-estuary continuum: Toward sustainable management of emerging contaminants
inferred← citeshttps://doi.org/10.1021/acs.analchem.6c02782openalex-snapshot
A High-Affinity Antibody for Rapid Screening of PFAS: Breaking Immunological Inertness through Descriptor-Guided Hapten Design
inferred← citeshttps://doi.org/10.1021/acs.est.1c04795openalex-snapshot
Perfluoroalkyl and Polyfluoroalkyl Substances in Groundwater Used as a Source of Drinking Water in the Eastern United States
inferred← citeshttps://doi.org/10.1021/acs.est.2c07255openalex-snapshot
Sociodemographic Factors Are Associated with the Abundance of PFAS Sources and Detection in U.S. Community Water Systems
inferred← citeshttps://doi.org/10.1021/acs.est.3c00348openalex-snapshot
Predicting Groundwater PFOA Exposure Risks with Bayesian Networks: Empirical Impact of Data Preprocessing on Model Performance
inferred← citeshttps://doi.org/10.1021/acs.est.3c03670openalex-snapshot
Using Geospatial Data and Random Forest To Predict PFAS Contamination in Fish Tissue in the Columbia River Basin, United States
inferred← citeshttps://doi.org/10.1021/acs.est.4c05616openalex-snapshot
Statistical Mapping of PFOA and PFOS in Groundwater throughout the Contiguous United States
inferred← citeshttps://doi.org/10.1021/acs.est.4c07016openalex-snapshot
Characterizing the Areal Extent of PFAS Contamination in Fish Species Downgradient of AFFF Source Zones
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Sources and Pathways of PFAS Occurrence in Water Sources: Relative Contribution of Land-Applied Biosolids in an Agricultural Dominated Watershed
inferred← citeshttps://doi.org/10.1021/acs.est.4c11265openalex-snapshot
Hold My Beer: The Linkage between Municipal Water and Brewing Location on PFAS in Popular Beverages
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Predictions of groundwater PFAS occurrence at drinking water supply depths in the United States
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