Cargando…
Predictive Models for the Medical Diagnosis of Dengue: A Case Study in Paraguay
Early diagnosis of dengue continues to be a concern for public health in countries with a high incidence of this disease. In this work, we compared two machine learning techniques: artificial neural networks (ANN) and support vector machines (SVM) as assistance tools for medical diagnosis. The perfo...
Autores principales: | Mello-Román, Jorge D., Mello-Román, Julio C., Gómez-Guerrero, Santiago, García-Torres, Miguel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6702853/ https://www.ncbi.nlm.nih.gov/pubmed/31485259 http://dx.doi.org/10.1155/2019/7307803 |
Ejemplares similares
-
Distribution level electric current consumption and meteorological data set of the east region of Paraguay
por: Velázquez, Gustavo, et al.
Publicado: (2021) -
Medical Genetics in Paraguay
por: Ferreira, Carlos Raúl, et al.
Publicado: (2014) -
Association between Climate Factors and Dengue Fever in Asuncion, Paraguay: A Generalized Additive Model
por: Gómez Gómez, Raquel Elizabeth, et al.
Publicado: (2022) -
Characterization of dengue cases among patients with an acute illness, Central Department, Paraguay
por: Rojas, Alejandra, et al.
Publicado: (2019) -
Epidemiologic History and Genetic Diversity Origins of Chikungunya and Dengue Viruses, Paraguay
por: Gräf, Tiago, et al.
Publicado: (2021)