Feature Selection for Dengue using Principal Component Analysis
Abstract
Dengue fever is one of the top ten global health threats, is endemic in more than 100 countries [1]. In Paraguay, dengue has been endemic since 2009. When an outbreak occurs, the number of non-recorded and under-registered cases increases due to the fact that confirmatory analyses are, specially for developing countries, complex and expensive. For that reason, these laboratory tests are not fully available. In these situations, detection of dengue cases becomes an important issue. The problem consists of establishing some variables (associated with traditional laboratory results) to determine a positive and a severe case of dengue [2]. [...]
Downloads
References
OPS(Organización Panamericana de la Salud)/OMS(Organización Mundial de la Salud. Módulo de Principios de Epidemiologia para el control de enfermedades. 2a ed. N.W. Washington, D.C., 2001. https://www.paho.org/col/dmdocuments/MOPECE5.pdf.
A. Rojas, F. Cardozo, C. Cantero, V. Stittleburg, S. López, C.M. Bernal, F. Giménez, L.P. Mendoza, B. Pinsky, Y. Guillén, M. Páez, and J. Jesse. “Characterization of dengue cases among patients with an acute illness, Central Department, Paraguay.” In: PeerJ (2019). url: https://doi.org/10.7717/peerj.7852.
S. Gómez-Guerrero, M. García-Torres, G. Sosa-Cabrera, E.G. Sotto-Riveros, and C.E. Schaerer. “Classifying dengue cases using CatPCA in combination with the MSU correlation”. In: Proceedings of the Entropy 2021: The Scientific Tool of the 21st Century, 5–7 May, MDPI. 2021. doi: 10.3390/Entropy2021-09828.
S. Gómez-Guerrero, I. Ortiz, G. Sosa-Cabrera, M. García-Torres, and C.E. Schaerer. “Measuring Interactions in Categorical Datasets Using Multivariate Symmetrical Uncertainty”. In: Entropy (2022). url: https://doi.org/10.3390/e24010064.
R. Arias-Michel, M. García-Torres, C.E. Schaerer, and F. Divina. “Feature Selection Using Approximate Multivariate Markov Blankets”. In: Hybrid Artificial Intelligent Systems. Ed. by Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, and Emilio Corchado. Cham: Springer International Publishing, 2016, pp. 114–125. isbn: 978-3-319-32034-2.
