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Scientists use machine learning to identify source of Salmonella outbreaks
date:Feb 11, 2019
ome.

Overall, the system predicted the animal source of the S. Typhimurium with 83 percent accuracy. The classifier performed best in predicting poultry and swine sources, followed by bovine and wild bird sources. The machine also detects whether its prediction is precise or imprecise. When the prediction was precise, the machine was accurate about 92 percent of the time, Deng said.

We retrospectively analyzed eight of the major zoonotic outbreaks that occurred in the U.S. from 1998 to 2013, h

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