Machine learning to predict the relationship between Vibrio spp. concentrations in seawater and oysters and prevalent environmental conditions-Reference-Cited by-同舟云学术

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Machine learning to predict the relationship between Vibrio spp. concentrations in seawater and oysters and prevalent environmental conditions

Published:2024-07 Issue: Volume:188 Page:114464
ISSN:0963-9969
Container-title:Food Research International
language:en
Short-container-title:Food Research International

Author:

Feng Shuyi,Karanth Shraddha^ORCID,Almuhaideb Esam,Parveen Salina,Pradhan Abani K.^ORCID

Publisher

Elsevier BV

Reference89 articles.

1. Assessment of Vibrio parahaemolyticus levels in oysters (Crassostrea virginica) and seawater in Delaware Bay in relation to environmental conditions and the prevalence of molecular markers to identify pathogenic Vibrio parahaemolyticus strains;Almuhaideb;PLoS One,2020

2. Detection of total and hemolysin-producing Vibrio parahaemolyticus in shellfish using multiplex PCR amplification of tl, tdh and trh;Bej;Journal of Microbiological Methods,1999

3. Applications of advanced data analytic techniques in food safety and risk assessment;Benefo;Current Opinion in Food Science,2022

4. The ecology of Vibrio vulnificus, Vibrio cholerae, and Vibrio parahaemolyticus in North Carolina estuaries;Blackwell;The Journal of Microbiology,2008

5. Sources and contamination routes of seafood with human pathogenic Vibrio spp.: A farm-to-fork approach;Brauge;Comprehensive Reviews in Food Science and Food Safety,2024

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