PSO-ANN based diagnostic model for the early detection of dengue disease

摘要: Abstract Large numbers of machine learning approaches have been developed for analysis medical data in recent years. These also proved their significance through accurate and earlier diagnosis diseases. The objective this work is to develop a diagnostic model dengue disease. Dengue fever spread the bite female mosquito (Aedes aegypti). symptoms are similar other such as that Viral influenza, Chikungunya, Zika fever, so on. However, human life can be at risk due severe depletion blood platelets. Therefore, early disease help protecting lives by making preventive move before it turns into an infectious In work, effort made PSO-ANN based fever. proposed model, PSO technique applied optimize weight bias parameters ANN method. Further, optimized approach used detect patients. effectiveness evaluated on accuracy, sensitivity, specificity, error rate AUC parameters. results compared with existing like ANN, DT, NB, PSO. It observed proficient powerful more detection