Grouping chemicals for health risk assessment: A text mining-based case study of polychlorinated biphenyls (PCBs)

Author:

Ali Imran,Guo Yufan,Silins Ilona,Högberg Johan,Stenius Ulla,Korhonen Anna

Funder

Royal Society

Vinnova

Publisher

Elsevier BV

Subject

Toxicology,General Medicine

Reference15 articles.

1. Non-dioxin-like PCBs interact with benzo[a]pyrene-induced p53-responses and inhibit apoptosis;Al-Anati;Toxicol. Appl. Pharmacol.,2010

2. Toxicological Profile for Polychlorinated Biphenyls (PCBs);ATSDR,2000

3. Can mode of action predict mixture toxicity for risk assessment?;Borgert;Toxicol. Appl. Pharmacol.,2004

4. A critical review about human exposure to polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs) and polychlorinated biphenyls (PCBs) through foods;Fernandez-Gonzalez;Crit. Rev. Food Sci.,2015

5. CRAB 2.0: A text mining tool for supporting literature review in chemical cancer risk assessment;Guo,2014

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