Evaluating the Surveillance System for Spotted Fever in Brazil Using Machine-Learning Techniques

This work analyses the performance of the Brazilian spotted fever (SF) surveillance system in diagnosing and confirming suspected cases in the state of Rio de Janeiro (RJ), from 2007 to 2016 (July) using machine-learning techniques. Of the 890 cases reported to the Disease Notification Information S...

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Detalles Bibliográficos
Autores principales: Lopez, Diego Montenegro, de Mello, Flávio Luis, Giordano Dias, Cristina Maria, Almeida, Paula, Araújo, Milton, Magalhães, Monica Avelar, Gazeta, Gilberto Salles, Brasil, Reginaldo Peçanha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714864/
https://www.ncbi.nlm.nih.gov/pubmed/29250519
http://dx.doi.org/10.3389/fpubh.2017.00323

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714864/
https://www.ncbi.nlm.nih.gov/pubmed/29250519
http://dx.doi.org/10.3389/fpubh.2017.00323

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