7. Conclusion

\label{conclusion}
The motive of this work is to develop a diagnostic model for earlier detection and accurate prediction of dengue disease. Dengue is a human life threatening disease due to serve depletion of platelets. In this work, PSO-ANN based diagnostic model is proposed for earlier detection and accurate prediction of dengue disease. In the proposed model, initially PSO method is adopted to optimize the parameters of ANN approach and after parameters optimization, ANN approach is applied to dengue disease dataset for finding dengue affected patients. Further, 10-crossfold method is employed to validate the results of the proposed diagnostic model. From results, it is seen that the proposed model provides better results in comparison to other approaches like ANN, DT NB, and PSO. It is also observed that parameter optimization of ANN has significant impact on its performance and resulted in improved performance than simple ANN approach. But, it is also observed that PSO-ANN model having large computational time than other approaches. It is concluded that PSO-ANN based diagnostic model is capable to detect the dengue disease earlier and diagnosis it more accurately.