Dengue Disease Prediction Using Decision Tree and Support Vector Machine
Abstract– The clinical documents maintained are a pool of information regarding the infected patients. By keeping this voluminous data can predict the future occurrences of the disease earlier and safe guard the people. Dengue the global problem is common in more than 110 countries. Dengue fever is a vector borne disease caused by the female Aedes Aegypti and Aedes Albopictus mosquitoes which adapt well to human environments. Data mining is a well known technique used by health organizations for classification of diseases. The collected dataset was experimented with Weka and Net Beans IDE and a decision tree is generated using Fisher Filtering and prediction done effectively with Support Vector Machine.
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