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Machine learning techniques applied in risk assessment related to food safety

Institutions
Istituto ZooProfilattico Sperimentale Del Piemonte
University of Padova
University of Turin
Zeta Research S.r.l
Start date
2014
End date
2014
Objective
A scientifically-based evaluation of the potential use of machine learning techniques (MLT) should be elaborated to provide insights for the elaboration of a guidance document and to facilitate the harmonisation in EFSA's assessments.
Funding Source
European Food Safety Authority
Project source
View this project
Project number
OC/EFSA/AMU/2014/02
Categories
Parasites
Natural Toxins
Viruses and Prions
Bacterial Pathogens
Chemical Contaminants
Risk Assessment, Management, and Communication