Predicting the severity of dengue fever in children on admission based on clinical features and laboratory indicators: application of classification tree analysis.

The decision tree we describe, using five simple clinical and laboratory indicators, can be used to predict severe cases of dengue among paediatric patients on admission. This algorithm is potentially useful for guiding a patient-monitoring plan and outpatient management of fever in resource-poor settings.