Tuberculosis (TB), a contagious disease, usually caused by Mycobacterium tuberculosis strain of bacteria, is spread through the air by actively infected patients. Air pollution along with various co-factors listed in this paper seems to be key factors in disease transmission across population. Tuberculosis most commonly affects the lungs; it may develop outside the pulmonary region as well. Though accurate diagnosis of latent or dormant TB is difficult, this paper attempts to identify them at an early stage which will help to start the treatment at the right time. This paper attempts to classify active and inactive or latent TB patients suffering from tuberculosis through Support Vector Machine with Gaussian kernel and Feed Forward Multi-layer Perceptron (MLP) classifiers. MLP results show better performance than Support Vector Machine when applied on the TB health dataset.
Volume 11 | 04-Special Issue
Pages: 2587-2593