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Hierarchical machine learning predicts geographical origin of <i>Salmonella</i> within four minutes of sequencing

2022-08-25

Abstract excerpt

Salmonella enterica serovar Enteritidis is one of the most frequent causes of Salmonellosis globally and is commonly transmitted from animals to humans by the consumption of contaminated foodstuffs. Herein, we detail the development and application of a hierarchical machine learning model to rapidly identify and trace the geographical source of S . Enteritidis infections from whole genome sequencing data. 2,313...

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Identifiers and source

Literature Corpus work
e70ad35b-a3e3-575e-9e66-8032b28eec91
DOI
10.1101/2022.08.23.22279111
Open publication

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Hierarchical machine learning predicts geographical origin of <i>Salmonella</i> within four minutes of sequencingDOI 10.1101/2022.08.23.22279111
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