ArticlePathogens (Basel, Switzerland)2022
A Machine Learning Model for Food Source Attribution of
Article in Pathogens (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Epidemiology, antimicrobial resistance transmission, and One Health-based prevention of non-typhoidalFrontiers in microbiology · 2026Review
- [Quantitative Risk Assessment ofSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Article
- Bioinformatics combined with machine learning unravels differences among environmental, seafood, and clinical isolates ofFrontiers in microbiology · 2025Article
- EAVLD 2024 - 7Italian journal of food safety · 2024Article
- Foodborne bacterial pathogens: genome-based approaches for enduring and emerging threats in a complex and changing world.Nature reviews. Microbiology · 2024Review
- Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy.Veterinary research · 2024Article
- Genomic surveillance for antimicrobial resistance - a One Health perspective.Nature reviews. Genetics · 2024Review
- Use of whole genome sequencing for surveillance and control of foodborne diseases:Frontiers in microbiology · 2024Review
- Advancements in Predictive Microbiology: Integrating New Technologies for Efficient Food Safety Models.International journal of microbiology · 2024Review
- Harmonization of supervised machine learning practices for efficient source attribution of Listeria monocytogenes based on genomic data.BMC genomics · 2023Article
- Rapid geographical source attribution ofeLife · 2023Article
- A comprehensive investigation of protein expression profiles inFrontiers in microbiology · 2023Article
- Development and validation of a random forest algorithm for source attribution of animal and humanFrontiers in microbiology · 2023Article
- Artificial Intelligence Models for Zoonotic Pathogens: A Survey.Microorganisms · 2022Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite its low morbidity, listeriosis has a high mortality rate due to the severity of its clinical manifestations. The source of human listeriosis is often unclear. In this study, we investigate the ability of machine learning to predict the food source from which clinical
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.