Runwei Li

Works (2)

Updated: April 25th, 2025 17:31

2023 article

Predicting Groundwater PFOA Exposure Risks with Bayesian Networks: Empirical Impact of Data Preprocessing on Model Performance

Li, R., & Gibson, J. M. D. (2023, August 18). Environmental Science & Technology.

By: R. Li n & J. Gibson n

author keywords: Bayesian network; data processing; PFOA; PFAS; groundwater contamination; machine learning
MeSH headings : Fluorocarbons / analysis; Bayes Theorem; Water Pollutants, Chemical / analysis; Groundwater / chemistry; Water Wells; Alkanesulfonic Acids
topics (OpenAlex): Per- and polyfluoroalkyl substances research; Toxic Organic Pollutants Impact; Air Quality and Health Impacts
TL;DR: Evaluating how data preprocessing influences machine-learned Bayesian network models of PFOA in groundwater found a trade-off between data quality and model performance since a stricter data screening strategy decreased the sample size for model training. (via Semantic Scholar)
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Source: Web Of Science
Added: September 5, 2023

2022 article

Predicting the occurrence of short-chain PFAS in groundwater using machine-learned Bayesian networks

Li, R., & Gibson, J. M. D. (2022, November 3). Frontiers in Environmental Science.

By: R. Li n & J. Gibson n

author keywords: Bayesian network (BN); exposure risk; short-chain PFAS; groundwater; spatial visualization; machine learning (ML)
topics (OpenAlex): Per- and polyfluoroalkyl substances research; Toxic Organic Pollutants Impact; Atmospheric and Environmental Gas Dynamics
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Source: Web Of Science
Added: December 5, 2022

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