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Predicting emerging chemical content in consumer products using machine learning.
Thornton, Luka Lila; Carlson, David E; Wiesner, Mark R.
Affiliation
  • Thornton LL; Duke University, Department of Civil and Environmental Engineering, 121 Hudson Hall, Durham, NC 27708, USA; Center for the Environmental Implications of NanoTechnology (CEINT), USA. Electronic address: thorn.luka@gmail.com.
  • Carlson DE; Duke University, Department of Civil and Environmental Engineering, 121 Hudson Hall, Durham, NC 27708, USA; Duke University, Department of Biostatistics and Bioinformatics, Duke University Medical Center, 2424 Erwin Road, Suite 1102 Hock Plaza, Durham, NC 27710, USA.
  • Wiesner MR; Duke University, Department of Civil and Environmental Engineering, 121 Hudson Hall, Durham, NC 27708, USA; Center for the Environmental Implications of NanoTechnology (CEINT), USA.
Sci Total Environ ; 834: 154849, 2022 Aug 15.
Article in En | MEDLINE | ID: mdl-35405240
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Organic Chemicals / Environmental Exposure Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Total Environ Year: 2022 Document type: Article Country of publication: Netherlands
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Organic Chemicals / Environmental Exposure Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Total Environ Year: 2022 Document type: Article Country of publication: Netherlands