Cargando…
Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study
BACKGROUND: Traditional surveillance systems produce estimates of influenza-like illness (ILI) incidence rates, but with 1- to 3-week delay. Accurate real-time monitoring systems for influenza outbreaks could be useful for making public health decisions. Several studies have investigated the possibi...
Autores principales: | Poirier, Canelle, Lavenu, Audrey, Bertaud, Valérie, Campillo-Gimenez, Boris, Chazard, Emmanuel, Cuggia, Marc, Bouzillé, Guillaume |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320394/ https://www.ncbi.nlm.nih.gov/pubmed/30578212 http://dx.doi.org/10.2196/11361 |
Ejemplares similares
-
Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study
por: Poirier, Canelle, et al.
Publicado: (2023) -
Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach
por: Poirier, Canelle, et al.
Publicado: (2021) -
Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review
por: Sylvestre, Emmanuelle, et al.
Publicado: (2022) -
Combining information from a clinical data warehouse and a pharmaceutical database to generate a framework to detect comorbidities in electronic health records
por: Sylvestre, Emmanuelle, et al.
Publicado: (2018) -
Leveraging National Claims and Hospital Big Data: Cohort Study on a Statin-Drug Interaction Use Case
por: Bannay, Aurélie, et al.
Publicado: (2021)