Identify Risk Factor and Perform Prediction of Dengue Fever Using Data Mining

Abstract

Arbovirus causes Dengue Fever(DF) and it spread by Aedes mosquitoes. The symptoms of Dengue
Fever are high fever, excessive sweating, body pain, rashes, loss in appetite. The infection of Dengue
Fever may leads to Dengue Haemorrhagic Fever (DHF) and Dengue Shock Syndrome (DSS). DSS is
the severe form of DHF. The Worl d Health Organization (WHO) declares Dengue Fever and Dengue

Hemorrhagic Fever are widely spread in all regions. Data mining is most popular to analyze the large number of data and discover algorithm under computational efficiency limitation that produces enumeration of models (or pattern) over the given data. Medical data mining is a significance of

Data Mining and also an important research field in healthcare domain. In this paper, the risk factors
for having dengue fever are obtained by decision tree al gorithm and the predictions are done by
regression. The research result shows prediction accuracy of 99%.