Proof-of-concept for using machine learning to facilitate data extraction for human health chemical assessments: a study protocol.
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| Title: | Proof-of-concept for using machine learning to facilitate data extraction for human health chemical assessments: a study protocol. |
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| Authors: | Angrish M; Center for Public Health and Environmental Assessment, Chemical and Pollutant Assessment Division, US Environmental Protection Agency, Durham, NC, USA., Thayer KA; Center for Public Health and Environmental Assessment, Chemical and Pollutant Assessment Division, US Environmental Protection Agency, Durham, NC, USA., Schulz B; Environmental Protection Agency National Student Services Contract, Oak Ridge Associated Universities, Oak Ridge, TN, USA., Nowak A; Evidence Prime Inc, Hamilton, Canada., Persad A; Center for Public Health and Environmental Assessment, Chemical and Pollutant Assessment Division, US Environmental Protection Agency, Durham, NC, USA., Phillips AL; Center for Public Health and Environmental Assessment, Chemical and Pollutant Assessment Division, US Environmental Protection Agency, Cincinnati, OH, USA., Rice G; Center for Public Health and Environmental Assessment, Chemical and Pollutant Assessment Division, US Environmental Protection Agency, Cincinnati, OH, USA., Shannon T; Center for Public Health and Environmental Assessment, Chemical and Pollutant Assessment Division, US Environmental Protection Agency, Cincinnati, OH, USA., Wilkins AA; Center for Public Health and Environmental Assessment, Health and Environmental Effects Assessment Division, US Environmental Protection Agency, Washington, DC, USA., Christensen K; Center for Public Health and Environmental Assessment, Health and Environmental Effects Assessment Division, US Environmental Protection Agency, Washington, DC, USA., Radke EG; Center for Public Health and Environmental Assessment, Health and Environmental Effects Assessment Division, US Environmental Protection Agency, Washington, DC, USA., Shapiro A; Center for Public Health and Environmental Assessment, Chemical and Pollutant Assessment Division, US Environmental Protection Agency, Durham, NC, USA., Taylor MM; Center for Public Health and Environmental Assessment, Chemical and Pollutant Assessment Division, US Environmental Protection Agency, Durham, NC, USA., Walker VR; Division of Translational Toxicology, National Institute of Environmental Health Sciences, Durham, NC, USA., Rooney AA; Division of Translational Toxicology, National Institute of Environmental Health Sciences, Durham, NC, USA., Watford SM; Center for Public Health and Environmental Assessment, Health and Environmental Effects Assessment Division, US Environmental Protection Agency, Washington, DC, USA. |
| Source: | Evidence-based toxicology [Evid Based Toxicol] 2024 Nov 11; Vol. 2 (1), pp. 2421192. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: United States NLM ID: 9918734084606676 Publication Model: Print Cited Medium: Internet ISSN: 2833-373X (Electronic) Linking ISSN: 2833373X NLM ISO Abbreviation: Evid Based Toxicol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2833-373X |
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| DOI: | 10.1080/2833373x.2024.2421192 |
