Diagnosis of Tuberculosis (TB) Diseases by Using Naïve Bayesian Classifier

Computers have become an indispensable tool in the Health Care Industry. As technology grows rapidly, many people take great interest in computer and then computer based methods are used to improve the quality of the medical services. In this paper, Naïve Bayesian classification method is used to classify the Tuberculosis (TB) diseases according to the symptoms. Naïve Bayesian classification has become a successful technique for medical systems. It assumes that attributes are independence of each other. And it is a simple probabilistic classifier based on applying Bayes theorem with strong (naive) independence assumptions. To known the system’s accuracy, holdout method is used and the experimental results shows that this system is reliable