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Estimating Geogenic Arsenic Contamination in Groundwater and the Exposed Human Population in River Basins in Ghana by Random Forest Classification Modeling: Public Health Policy Implications

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Low-level arsenic exposure from drinking water is associated with prostate cancer in Iowa
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The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan
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Drinking Water Criteria for Arsenic in High-Income, Low-Dose Countries: The Effect of Legislation on Public Health
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Prediction Modeling and Mapping of Groundwater Fluoride Contamination throughout India
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Arsenic Contamination of Groundwater and Drinking Water in Vietnam: A Human Health Threat
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Can Arsenic Occurrence Rates in Bedrock Aquifers Be Predicted?
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Predicting Geogenic Arsenic Contamination in Shallow Groundwater of South Louisiana, United States
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Statistical Modeling of Global Geogenic Arsenic Contamination in Groundwater
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Random Forests
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New Global Hydrography Derived From Spaceborne Elevation Data
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Predicting the Distribution of Arsenic in Groundwater by a Geospatial Machine Learning Technique in the Two Most Affected Districts of Assam, India: The Public Health Implications
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Predicting groundwater arsenic contamination in Southeast Asia from surface parameters
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Arsenic pollution of groundwater in Vietnam exacerbated by deep aquifer exploitation for more than a century
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Assessing environmental exposure and health impacts of gold mining in Ghana
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Extensive arsenic contamination in high-pH unconfined aquifers in the Indus Valley
inferredcites →https://doi.org/10.1126/science.1237484openalex-extracted
Groundwater Arsenic Contamination Throughout China
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Correlation Coefficients: Appropriate Use and Interpretation
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SoilGrids250m: Global gridded soil information based on machine learning
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Spring : managing groundwater sustainably
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pdp: An R Package for Constructing Partial Dependence Plots
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Downscaling Global Spatial Population Projections from 1/8-degree to 1-km Grid Cells
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