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...

詳細記述

書誌詳細

出版年:	Current Research in Food Science
主要な著者:	Zita E. Martins, Helena Ramos, Ana Margarida Araújo, Marta Silva, Mafalda Ribeiro, Armindo Melo, Catarina Mansilha, Olga Viegas, Miguel A. Faria, Isabel M.P.L.V.O. Ferreira
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2023-01-01
主題:	Food-chain contaminants Food toxicants Literature review Contaminant data Exposome Unavoidable exposure
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2665927123001259