Prediction of treatment failure of tuberculosis using support vector machine with genetic algorithm

Background: Tuberculosis (TB) is a disease that mainly affects human lungs. It can be fatal if the treatment is delayed. This study investigates the prediction of treatment failure of TB patients focusing on the features which contributes mostly for drug resistance. Methods: Support vector machine (SVM) is a relatively novel classification model that has shown promising performance in regression applications. Genetic algorithm (GA) is a method...