Anomaly Detection in Endemic Disease Surveillance Data Using Machine Learning Techniques

Disease surveillance is used to monitor ongoing control activities, detect early outbreaks, and inform intervention priorities and policies. However, data from disease surveillance that could be used to support real-time decisionmaking remain largely underutilised. Using the Brazilian Amazon malaria...

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Detalles Bibliográficos
Autores principales: Eze, Peter U., Geard, Nicholas, Mueller, Ivo, Chades, Iadine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341307/
https://www.ncbi.nlm.nih.gov/pubmed/37444730
http://dx.doi.org/10.3390/healthcare11131896

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341307/
https://www.ncbi.nlm.nih.gov/pubmed/37444730
http://dx.doi.org/10.3390/healthcare11131896

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