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DiMB-RE: mining the scientific literature for diet-microbiome associations.

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第一作者： Gibong,Hong

第一单位： School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL 61820, United States.

作者： Gibong,Hong ^[1] ; Veronica,Hindle ^[2] ; Nadine M,Veasley ^[3] ; Hannah D,Holscher ^[4] ; Halil,Kilicoglu ^[5]

作者单位： School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL 61820, United States. ^[1] Department of Food Science and Human Nutrition, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States. ^[2] Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States. ^[3] Department of Food Science and Human Nutrition, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States.;Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States.;Personalized Nutrition Initiative, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States. ^[4] School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL 61820, United States.;Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States.;Personalized Nutrition Initiative, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States. ^[5]

关键词 biomedical literature mining corpus annotation diet-microbiome associations named entity recognition relation extraction

医学主题词自然语言处理(Natural Language Processing);数据挖掘(Data Mining);人类(Humans);膳食(Diet)

DOI 10.1093/jamia/ocaf054

PMID 40152137

发布时间 2025-05-22

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