ArticleToxicology reports2024
Assessing human exposure to organic contaminants in fish: A modeling approach integrating chemical bioconcentration and food thermal processing.
Article in Toxicology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Article
- PFAS Policies and Reductions in Drinking Water Contamination Across the United States: Incorporated Policy Perspectives from Los Angeles Residents.Next research · 2026Article
- Machine learning prioritization of antibiotic residues in aquatic foods reveals exposure-driven genotoxic risk mediated by BCL2.Food chemistry: X · 2026Article
- Levels of some heavy metals in the tissues of cestodeOpen veterinary journal · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An increasing number of chemicals found in the environment potentially pose a threat to organisms such as fish. Models for risk assessment are vital resources that enable possible measurements of the hazards associated with chemical exposure. Traditional monitoring techniques and experimental procedures, however, are unable to keep up with the compounds that are becoming more and more implicated in environmental problems. Furthermore, a significant amount of data invariably results in inaccuracies. Here, we proposed an integrated approach that combines machine learning and fuzzy logic mathematical methods, assessing the risks associated with chemical exposure from contaminated fish with the least amount of data entry possible. We predicted the concentrations of organic contaminants in the environment, serving as a baseline for quantifying the fuzzy risks during household thermal processing of the fish. With a mean
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Registered trials
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