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...

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Detalles Bibliográficos
Autores principales: Sadilek, Adam, Caty, Stephanie, DiPrete, Lauren, Mansour, Raed, Schenk, Tom, Bergtholdt, Mark, Jha, Ashish, Ramaswami, Prem, Gabrilovich, Evgeniy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
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

Internet

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

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