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Machine-learned epidemiology: real-time detection of foodborne illness at scale
Machine learning has become an increasingly powerful tool for solving complex problems, and its application in public health has been underutilized. The objective of this study is to test the efficacy of a machine-learned model of foodborne illness detection in a real-world setting. To this end, we...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550174/ https://www.ncbi.nlm.nih.gov/pubmed/31304318 http://dx.doi.org/10.1038/s41746-018-0045-1 |