Scientists use machine learning to identify source of Salmonella outbreaks
date:Feb 11, 2019
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The researchers trained the machine, an algorithm called Random Forest, with more than 1,300 S. Typhimurium genomes with known sources. After the training, the machine learned how to predict certain animal sources of S. Typhimurium genomes.

For this study, the scientists used Salmonella Typhimurium genomes from three major surveillance and monitoring programs; the CDCs PulseNet network, the FDAs GenomeTrakr database of sources in the United States, Europe, South America, Asia and Africa a

06/17 22:41