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The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities
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Journal Article
Hu, Xindi C., Mona Dai, Jennifer M. Sun, and Elsie M. Sunderland. 2023. “The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities.” Current Environmental Health Reports 10 (1): 45–60. https://doi.org/10.1007/s40572-022-00389-x
This review aims to better understand the utility of machine learning algorithms for predicting spatial patterns of contaminants in the United States (U.S.) drinking water.
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