- 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
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