Classification of Listeria monocytogenes persistence in retail delicatessen environments using expert elicitation and machine learning.

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Microbial bioinformatics for food safety and production Whole-Genome Sequencing Allows for Improved Identification of Persistent Listeria monocytogenes in Food-Associated Environments Satellite Data and Machine Learning for Weather Risk Management and Food Security.

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Classification of Listeria monocytogenes persistence in retail delicatessen environments using expert elicitation and machine learning.

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2014 nî lūn-bûn

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J Steingrimsson

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P Vangay

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Foodborne illness acquired in the United States--major pathogens

The use of expert elicitation in environmental health impact assessment: a seven step procedure.

Prioritizing emerging zoonoses in the Netherlands.

Review--Persistence of Listeria monocytogenes in food industry equipment and premises.

Structured expert elicitation about Listeria monocytogenes cross-contamination in the environment of retail deli operations in the United States.

Listeria monocytogenes persistence in food-associated environments: epidemiology, strain characteristics, and implications for public health.

Prevalence, distribution, and diversity of Listeria monocytogenes in retail environments, focusing on small establishments and establishments with a history of failed inspections.

Implementation of statistical tools to support identification and management of persistent Listeria monocytogenes contamination in smoked fish processing plants.

Annual cost of illness and quality-adjusted life year losses in the United States due to 14 foodborne pathogens.

Eliciting expert opinion on the effectiveness and practicality of interventions in the farm and rural environment to reduce human exposure to Escherichia coli O157.

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1830-1845

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scholarly article

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10.1111/RISA.12218

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Martin Wiedmann

Matthew Stasiewicz

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2014-06-02T00:00:00Z

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262773747

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machine learning

Listeria monocytogenes

Classification of Listeria monocytogenes persistence in retail delicatessen environments using expert elicitation and machine learning.

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P2860

P2860

Classification of Listeria monocytogenes persistence in retail delicatessen environments using expert elicitation and machine learning.

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