Grantee Research Project Results
Journal Publications Details for Grant Number R840081
Predicting and Communicating PFAS Exposure Risks from Rural Private Wells
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Reference Type | Citation | Progress Report Year | Document Sources |
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Journal Article | Roostaei J, Colley S, Mulhem R, May A, Gibson J. Predicting the risk of GenX contamination in private well water using a machine-learned Bayesian network model. JOURNAL OF HAZARDOUS MATERIALS 2021;411:125075. |
R840081 (2021) |
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Journal Article | Li R, MacDonald Gibson J. Predicting the occurrence of short-chain PFAS in groundwater using machine-learned Bayesian networks. Frontiers in Environmental Science 2022; 10:958784. |
R840081 (2022) |
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Journal Article | Li R, Gibson JM. Predicting Groundwater PFOA Exposure Risks with Bayesian Networks:Empirical Impact of Data Preprocessing on Model Performance. Environmental Science & Technology 2023;57(46):18329-38. |
R840081 (2023) |
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