Classification of swine flu patients using gene expression : “For a safer future”

Abstract

Nowadays we see that everyday a lot of cases come up where patients are detected and diagnosed with swine flu fever. And mostly it is too late to do something for them. There are blood tests performed on patients to perform early prognostic testing so that the early signs help us fight the symptomatic fever that is swine flu.Eight genomic biomarkers for early detection of swine flu known to us have been used in this paper. Existing work uses PSO approach for test cases of dengue and malaria which achieved the accuracy of 90.91% but no work has been performed for swine flu. In order to achieve high accuracy, we are using optimization algorithms like SVM Decision Tree and ANN so as to determine which is the best one and which gives the highest accuracy for detection of swine flu by using gene expression database and further validated using k-fold validation techniques