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Machine learning for syndromic surveillance using veterinary necropsy reports

The use of natural language data for animal population surveillance represents a valuable opportunity to gather information about potential disease outbreaks, emerging zoonotic diseases, or bioterrorism threats. In this study, we evaluate machine learning methods for conducting syndromic surveillanc...

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Detalles Bibliográficos
Autores principales: Bollig, Nathan, Clarke, Lorelei, Elsmo, Elizabeth, Craven, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7001958/
https://www.ncbi.nlm.nih.gov/pubmed/32023271
http://dx.doi.org/10.1371/journal.pone.0228105