AIMC Topic: Salmonella Infections

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Salmonella infections modelling in Mississippi using neural network and geographical information system (GIS).

BMJ open Mar 3, 2016
OBJECTIVES: Mississippi (MS) is one of the southern states with high rates of foodborne infections. The objectives of this paper are to determine the extent of Salmonella and Escherichia coli infections in MS, and determine the Salmonella infections ...
Humans Neural Networks, Computer Disease Outbreaks Geographic Information Systems Socioeconomic Factors Models, Statistical Regression Analysis Foodborne Diseases Population Surveillance Social Class Salmonella Infections Mississippi
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A guide to machine learning for bacterial host attribution using genome sequence data.

Microbial genomics Dec 1, 2019
With the ever-expanding number of available sequences from bacterial genomes, and the expectation that this data type will be the primary one generated from both diagnostic and research laboratories for the foreseeable future, then there is both an o...
Humans Machine Learning Animals Swine Birds Genome-Wide Association Study Cattle Salmonella typhimurium Whole Genome Sequencing Salmonella Infections Genome, Bacterial Host Specificity Salmonella Infections, Animal
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Artificial neural network-assisted Fourier transform infrared spectroscopy for differentiation of Salmonella serogroups and its application on epidemiological tracing of Salmonella Bovismorbificans outbreak isolates from fresh sprouts.

FEMS microbiology letters Aug 1, 2019
Salmonellae represent one of the most common bacterial infection reagents in both humans and animals. For detection and epidemiological elucidation of Salmonella infections, determination of Salmonella serotypes and differentiation between different ...
Humans Neural Networks, Computer Disease Outbreaks Salmonella Spectroscopy, Fourier Transform Infrared Seedlings Serogroup Serotyping Contact Tracing Salmonella Infections
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