Feature Selection for Dengue using Principal Component Analysis
Resumen
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]. [...]
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