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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Risk Anal |
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| Κύριοι συγγραφείς: | , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
John Wiley and Sons Inc.
2018
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| Θέματα: | |
| Διαθέσιμο Online: | 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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