AI-Based Intelligent Model to Predict Epidemics Using Machine Learning Technique

The immediate international spread of severe acute respiratory syndrome revealed the potential threat infectious diseases in a closely integrated and interdependent world. When an outbreak occurs, each country must have well-coordinated preventative plan to address situation. Information Communication Technologies provided innovative approaches dealing with numerous facets daily living. Although intelligent devices applications become vital part our everyday lives, smart gadgets also led several physical psychological health problems modern society. Here, we used artificial intelligence AI-based system for disease prediction using Artificial Neural Network (ANN). ANN improved regularization classification model, hence increasing its accuracy. unconstrained optimization model reduced classifier’s cost function obtain lowest possible cost. To verify performance system, compared outcomes suggested scheme results previously proposed models. achieved accuracy 0.89, miss rate 0.11 was higher than