Machine Learning Methods as a Tool for Predicting Risk of Illness Applying Next‐Generation Sequencing Data

Next‐generation sequencing (NGS) data present an untapped potential to improve microbial risk assessment (MRA) through increased specificity and redefinition of the hazard. Most of the MRA models do not account for differences in survivability and virulence among strains. The potential of machine le...

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Detalles Bibliográficos
Autores principales: Njage, Patrick Murigu Kamau, Henri, Clementine, Leekitcharoenphon, Pimlapas, Mistou, Michel‐Yves, Hendriksen, Rene S., Hald, Tine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Original Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379936/
https://www.ncbi.nlm.nih.gov/pubmed/30462833
http://dx.doi.org/10.1111/risa.13239

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379936/
https://www.ncbi.nlm.nih.gov/pubmed/30462833
http://dx.doi.org/10.1111/risa.13239

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