An optimal feature selection based classification model for disease diagnosis in cloud environment

In the Cloud computing platform, several technologies are practiced to manage the huge amount of information and also afford the comfort of routine. In this state, every cloud-based application plays an extensive role in the real-time applications. To avail efficient facilities to the patients, this paper presents an optimal feature selection based data classification model particularly for cloud platform. The presented model is based on two stages namely genetic algorithm based feature selection (GA-FS) and neural network (NN) based data classification. The presented GA-NN model is applied to diagnose the diseases and its various stages. The experimentations have been directed by the benchmark dataset and the real-time medicinal data that is gathered from numerous medical organizations. The simulation outcomes demonstrate that the efficiency of the GA-NN method beats the prevailing methods to predict diseases.