Reference health
A Machine Learning Approach for Spatial Mapping of the Health Risk Associated with Arsenic-Contaminated Groundwater in Taiwan’s Lanyang Plain
18/18 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
8 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 18 checked references that resolve
resolves10.1289/ehp.7719109
Effects and dose-response relationships of skin cancer and blackfoot disease with arsenic
resolves10.1016/S0021-9150(98)00178-6
Low serum carotene level and increased risk of ischemic heart disease related to long-term arsenic exposure
resolves10.1289/ehp.00108847
Long-term arsenic exposure and incidence of non-insulin-dependent diabetes mellitus: a cohort study in arseniasis-hyperendemic villages in Taiwan.
resolves10.1007/s10653-016-9794-4
Health risk assessment of groundwater arsenic pollution in southern Taiwan
resolves10.1016/j.scitotenv.2007.06.021
Evaluation of potential health risk of arsenic-affected groundwater using indicator kriging and dose response model
resolves10.3390/ijerph14010081
Spatial Analysis of Human Health Risk Due to Arsenic Exposure through Drinking Groundwater in Taiwan’s Pingtung Plain
resolves10.1016/j.scitotenv.2018.01.294
Spatial analysis of the risk to human health from exposure to arsenic contaminated groundwater: A kriging approach
resolves10.1016/j.jhydrol.2015.12.023
Combining groundwater quality analysis and a numerical flow simulation for spatially establishing utilization strategies for groundwater and surface water in the Pingtung Plain
resolves10.1007/s11269-019-02360-2
The Combined Use of Groundwater Quality, Drawdown Index and Land Use to Establish a Multi-Purpose Groundwater Utilization Plan
resolves10.1007/s00477-008-0296-5
Comparison of ordinary kriging and artificial neural network for spatial mapping of arsenic contamination of groundwater
resolves10.3808/jei.200800132
Application of Artificial Neural Network Model to Study Arsenic Contamination in Groundwater of Malda District, Eastern India
resolves10.1016/j.watres.2011.08.010
Prediction of contamination potential of groundwater arsenic in Cambodia, Laos, and Thailand using artificial neural network
resolves10.15233/gfz.2015.32.9
Spatial analysis of groundwater electrical conductivity using ordinary kriging and artificial intelligence methods (Case study: Tabriz plain, Iran)
resolves10.3390/ijerph15010034
Comparison Study on the Estimation of the Spatial Distribution of Regional Soil Metal(loid)s Pollution Based on Kriging Interpolation and BP Neural Network
resolves10.1016/j.jhydrol.2019.123975
Geochemical, mineralogical and statistical characteristics of arsenic in groundwater of the Lanyang Plain, Taiwan
The 8 references without a DOI — listed, not checked
no DOI — not checkedEPB (1997). Survey of Arsenic Contents of Drinking Water (Surface Water and Groundwater) in YiLan County.
no DOI — not checkedEPB (1998). Survey of Arsenic Contents of Drinking Water (Surface Water and Groundwater) in YiLan County.
no DOI — not checkedEPB (1999). Survey of Arsenic Contents of Drinking Water (Surface Water and Groundwater) in YiLan County.
no DOI — not checkedWorld Health Organization (WHO) (1993). Guidelines for Drinking Water Quality: Recommendations, World Health Organization.
no DOI — not checkedInternational Agency for Research on Cancer (IARC) (2012). A Review of Human Carcinogens: Arsenic, Metals, Fibers, and Dusts, International Agency for Research on Cancer.
no DOI — not checkedMalignant neoplasms among residents of a blackfoot disease-endemic area in Taiwan: High-arsenic artesian well water and cancers
no DOI — not checkedJournel, A.G., and Huijbregts, C.J. (1978). Mining Geostatistics, Academic Press.
no DOI — not checkedUnited States Environmental Protection Agency (USEPA) (2021, October 28). Integrated Risk Information System (IRIS) Assessment, Available online: https://cfpub.epa.gov/ncea/iris_drafts/atoz.cfm.
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