Decision support system for dengue detection based on vital signs and blood profile

Abstract

The primary focus of this research study goes to the decision support system for dengue detection based on vital signs and blood profile using data mining techniques. This study sought to analyze the best data mining techniques which can be used to detect the dengue stage and suggest the decisions according to the situation. This research based on research paradigm, Cased-Based Reasoning (CBR) to develop a web application to manage dengue illness. Identified the essential cases related to Dengue and recognised the rules which are related to those cases. This system generated suggestions will help doctors to quickly identify the current situation of the patient and do proper treatments to the patient. The system will help to reduce the number of Dengue death in Sri Lanka.