A perspective on data sharing in digital food safety systems.

Qian, Chenhao; Liu, Yuhan; Barnett-Neefs, Cecil; Salgia, Sudeep; Serbetci, Omer; Adalja, Aaron; Acharya, Jayadev; Zhao, Qing; Ivanek, Renata; Wiedmann, Martin

Qian, Chenhao; Liu, Yuhan; Barnett-Neefs, Cecil; Salgia, Sudeep; Serbetci, Omer; Adalja, Aaron; Acharya, Jayadev; Zhao, Qing; Ivanek, Renata; Wiedmann, Martin.

Afiliación

Qian C; Department of Food Science, Cornell University, Ithaca, NY, USA.
Liu Y; School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.
Barnett-Neefs C; Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY, USA.
Salgia S; School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.
Serbetci O; School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.
Adalja A; SC Johnson College of Business, Cornell University, Ithaca, NY, USA.
Acharya J; School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.
Zhao Q; School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.
Ivanek R; Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY, USA.
Wiedmann M; Department of Food Science, Cornell University, Ithaca, NY, USA.

Crit Rev Food Sci Nutr ; : 1-17, 2022 Jul 26.

Article en En | MEDLINE | ID: mdl-35880485

Palabras clave

Food safety; data privacy; data utility; decision support tools; predictive models

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Crit Rev Food Sci Nutr Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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