Machine Learning Approaches for Epidemiological Investigations of Food-Borne Disease Outbreaks
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DOI: 10.3389/fmicb.2019.01722
Abstract: 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.… read more here.
Keywords: approaches epidemiological; machine learning; learning approaches; epidemiological investigations ... See more keywords