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Updated: Jul 19, 2025

Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow
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用贝叶斯网络预测地下水PFOA暴露风险:数据预处理对模型性能的实证影响

Runwei Li1,2, Jacqueline MacDonald Gibson2

  • 1Department of Civil Engineering, New Mexico State University, 3035 S Espina St, Las Cruces, New Mexico 88003, United States.

Environmental science & technology
|August 18, 2023
PubMed
概括

数据预处理显著影响机器学习模型,预测地下水中的和多基物质 (PFAS) 暴露风险. 尽管存在差异,但模型准确地识别了高风险井,突出了数据质量与模型性能之间的权衡.

关键词:
贝叶斯网络是一个贝叶斯网络.在PFAS中,有很多方法.这就是PFOA的PFOA.处理数据的数据处理.地下水污染 地下水污染机器学习是机器学习.

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