Predicting Types of Genetic Disorder- Multiple Classifiers Approach

Genetic diseases are caused by mutations in the deoxyribonucleic acid (DNA) sequence, which can happen on their own or be inherited from parents. These mutations may cause hemochromatosis, cancer, Alzheimer’s disease, and other fatal diseases. Artificial intelligence-based methods have recently shown remarkable promise in the diagnosis and prognosis of a wide range of diseases. These methods can predict genetic issues early on and treat them quickly based on genome data. The proposed approach considers multiple classifiers and are used for the prediction of the genetic disorder accurately. In Multiple classifier approach the classifiers used are Decision Tree Classifier (DTC), Extra Tree Classifier(ETC), Random Forest Classifier, Support Vector Classifier, KNN, voting classifier, LGBM algorithm and XGboost algorithm for comparing the accuracies and predicting the exact genetic disorder.