Soft Computing Techniques for Dengue Prediction

Dengue is a mosquito borne viral disease which occurs frequently affecting in large numbers of people in the tropical and sub-tropical regions. The disease requires medical treatment and may turn out to be fatal if not treated properly, or a delay in treatment is reported. Therefore, there is a need for the early prediction of the disease so that treatment is being availaible as and when required. In this paper, we intend to study, implement and review the performance of various prediction techniques coupled with bioinformatics for the early prediction of Dengue disease. The primary objective of the paper is to analyze and compare the performance of the soft computing prediction techniques, the advantages and the issues associated with them on the Dengue datasets. The paper would be helpful in motivating the researchers and various government institutions to predict the number of likely Dengue cases, ramp up the medical and healthcare facilities and put various programs and plans into being. The applied approach may be used in some other medical diseases.