Article
Harmonization of supervised machine learning practices for efficient source attribution of Listeria monocytogenes based on genomic data.
BMC genomics - 22 Sept 2023
Castelli Pierluigi, De Ruvo Andrea, Bucciacchio Andrea, D'Alterio Nicola, Cammà Cesare, Di Pasquale Adriano, Radomski Nicolas
Abstract excerpt
BACKGROUND: Genomic data-based machine learning tools are promising for real-time surveillance activities performing source attribution of foodborne bacteria such as Listeria monocytogenes. Given the heterogeneity of machine learning practices, our aim was to identify those influencing the source prediction performance of the usual holdout method combined with the repeated k-fold cross-validation method. METHODS:...
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