A Prediction Engine for Influenza Pandemic using Healthcare Analysis

Influenza is one of the frequent viral infections in the world, and puts majority of people at risk every year. Recent systems for detecting influenza are not adequate due to the lack of efficient consultant and deficiency in recognizing the nature of serious medical conditions. Such systems are need to be developed for a quick and proficient detection system. The present technology has given rise interest in the field of influenza awareness, especially on the topic of prediction. The current technology can give reply only to the straightforward queries such as "Determine the common age of patients who have caused by flu?", "How many patients have to continue the hospital stays extended than 10 days". But still, present system are not able to respond to the complicated queries like predict the span of hospital stay before any surgical operation. The proposed prediction engine collects all related parameter & analysis is performed on collected data by giving a Viterbi prediction model for the flu forecasting of the patients resting on their current health condition.