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Machine Learning Models to Predict the Bioaccessibility of Parent and Substituted Polycyclic Aromatic Hydrocarbons (Pahs) in Food: Impact on Accurate Health Risk Assessment

Number of pages: 29 Posted: 24 Aug 2024

Xiao Zhang, Xiaolei Wang, Fei Wu, Weigang Liang, Sixian Wang, Jinglin Liang, Xiaoli Zhao and Fengchang Wu

Chinese Research Academy on Environmental Sciences (CRAES) - State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy on Environmental Sciences (CRAES) - State Key Laboratory of Environmental Criteria and Risk Assessment, Hohai University, Chinese Research Academy of Environmental Sciences, Chinese Research Academy of Environmental Sciences, affiliation not provided to SSRN, Chinese Research Academy of Environmental Sciences and Chinese Research Academy of Environmental Sciences

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Fei Wu

Hohai University

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Machine Learning Models to Predict the Bioaccessibility of Parent and Substituted Polycyclic Aromatic Hydrocarbons (Pahs) in Food: Impact on Accurate Health Risk Assessment

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