Pilot study: Using data mining to develop a machine learning pipeline to identify characteristics of products claiming health benefits for women

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Vydané v:Annals of epidemiology Ročník 97; s. 90
Hlavní autori: Trice, C., Dubrow, G., Taylor, C.L., Nali, M., Mackey, T.K., Li, Z., Larsen, M.Z., Wolpert, B.J.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Inc 01.09.2024
Predmet:
Cannabis
Data mining
Women
Women
Data mining
Cannabis
ISSN:1047-2797
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Author Trice, C.
Taylor, C.L.
Wolpert, B.J.
Dubrow, G.
Li, Z.
Nali, M.
Mackey, T.K.
Larsen, M.Z.
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  organization: Global Health Program, Department of Anthropology, University of California San Diego, La Jolla, CA, USA
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  givenname: B.J.
  orcidid: 0000-0002-3083-7384
  surname: Wolpert
  fullname: Wolpert, B.J.
  organization: U.S. Food and Drug Administration, Silver Spring, MD, USA
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SubjectTerms Cannabis
Data mining
Women
Title Pilot study: Using data mining to develop a machine learning pipeline to identify characteristics of products claiming health benefits for women
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