Harmonization of supervised machine learning practices for efficient source attribution of Listeria monocytogenes based on genomic data

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 pr...

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Detalles Bibliográficos
Autores principales: Castelli, Pierluigi, De Ruvo, Andrea, Bucciacchio, Andrea, D’Alterio, Nicola, Cammà, Cesare, Di Pasquale, Adriano, Radomski, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515079/
https://www.ncbi.nlm.nih.gov/pubmed/37736708
http://dx.doi.org/10.1186/s12864-023-09667-w

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