From data to insight: Exploring contaminants in different food groups with literature mining and machine learning techniques

Food remains a major source of human exposure to chemical contaminants that are unintentionally present in commodities globally, despite strict regulation. Scientific literature is a valuable source of quantification data on those contaminants in various foods, but manually summarizing the informati...

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Detalles Bibliográficos
Autores principales: Martins, Zita E., Ramos, Helena, Araújo, Ana Margarida, Silva, Marta, Ribeiro, Mafalda, Melo, Armindo, Mansilha, Catarina, Viegas, Olga, Faria, Miguel A., Ferreira, Isabel M.P.L.V.O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432907/
https://www.ncbi.nlm.nih.gov/pubmed/37600463
http://dx.doi.org/10.1016/j.crfs.2023.100557

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432907/
https://www.ncbi.nlm.nih.gov/pubmed/37600463
http://dx.doi.org/10.1016/j.crfs.2023.100557

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