Search
Now showing items 1-4 of 4
Machine learning models for early dengue severity prediction
(Springer Verlag, 2016)
Infection by dengue-virus is prevalent and a public health issue in tropical countries worldwide. Also, in developing nations, child populations remain at risk of adverse events following an infection by dengue virus, as ...
Differential diagnosis of hemorrhagic fevers using ARTMAP and an Artificial Immune System
(2013)
The differential diagnosis of endemic hemorrhagic fevers in tropical countries is by no means an easy task for medical practitioners. Several diseases often overlap with others in terms of signs and symptoms, thus making ...
Differential diagnosis of hemorrhagic fevers using ARTMAP
(Springer Verlag, 2012)
The differential diagnosis of endemic hemorrhagic fevers in tropical countries is by no means an easy task for medical practitioners. Several diseases often overlap with others in terms of signs and symptoms, thus making ...
Kernel-based machine learning models for the prediction of dengue and chikungunya morbidity in Colombia
(Springer Verlag, 2017)
Dengue and Chikungunya fever are two viral diseases of great public health concern in Colombia and other tropical countries as they are both transmitted by Aedes mosquitoes, which are endemic to this area. In recent years, ...
