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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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| Publicado en: | Risk Anal |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
John Wiley and Sons Inc.
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7379936/ https://ncbi.nlm.nih.gov/pubmed/30462833 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/risa.13239 |
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