Real-Time Dengue Prediction Using Naive Bayes Predicator in the IoT

Dengue is a baleful disease. This disease is found in several developed as well as developing countries like India. In India at very first dengue was detected in 1963 at Kolkata. This disease is caused by biting of Agypti Aedes mosquito. However, this can be prevented by taking proper measures. The datasets contains symptoms which are BP, heart rate, fever temperature, and platelets. It posses symptoms which affect patient and verify. In this paper we consultation about Naive Bayes algorithm for classification that describes utilization for dengue disease prediction. In this method, the real-time data is accepted and is stored on the server. Analysis of previous records of the patient. And that accepted real-time data compared with the dataset and it gives the probability of the dengue. Which is in the form of prediction result.