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Source allocation of per- and polyfluoroalkyl substances (PFAS) with supervised machine learning: Classification performance and the role of feature selection in an expanded dataset.
Kibbey, Tohren C G; Jabrzemski, Rafal; O'Carroll, Denis M.
Affiliation
  • Kibbey TCG; School of Civil Engineering and Environmental Science, University of Oklahoma Norman, OK, 73019, USA. Electronic address: kibbey@ou.edu.
  • Jabrzemski R; School of Computer Science, University of Oklahoma Norman, OK, 73019, USA.
  • O'Carroll DM; School of Civil and Environmental Engineering, UNSW Sydney Manly Vale, NSW, 2093, Australia.
Chemosphere ; 275: 130124, 2021 Jul.
Article in En | MEDLINE | ID: mdl-33984906
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Fluorocarbons Type of study: Prognostic_studies Language: En Journal: Chemosphere Year: 2021 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Fluorocarbons Type of study: Prognostic_studies Language: En Journal: Chemosphere Year: 2021 Document type: Article Country of publication: