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Machine Learning Approaches for Epidemiological Investigations of Food-Borne Disease Outbreaks
Foodborne diseases (FBDs) are infections of the gastrointestinal tract caused by foodborne pathogens (FBPs) such as bacteria [Salmonella, Listeria monocytogenes and Shiga toxin-producing E. coli (STEC)] and several viruses, but also parasites and some fungi. Artificial intelligence (AI) and its sub-...
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| 出版年: | Front Microbiol |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6691741/ https://ncbi.nlm.nih.gov/pubmed/31447800 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fmicb.2019.01722 |
| タグ: |
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