Machine Learning Techniques for Tuberculosis Prediction
8 Pages Posted: 17 Jun 2019
Date Written: March 14, 2019
Tuberculosis is amongst the top reasons of death around the world. It is caused by a bacterium called Mycobacterium tuberculosis and it affects the lungs. Predicting it on time and properly diagnosing tuberculosis is a prominent problem in medical field. The treatment process also varies from one patient to another, as in some cases the patient develops resistance to drugs. With the help of machine learning algorithm assistance can be provided to physician to diagnose and provide suitable treatment and to make faster and better decision. This paper reviews the various causes and symptoms of tuberculosis and how with the help of machine learning techniques accurate and timely prediction and diagnosis studies are done over the past few years.
Keywords: Tuberculosis, Machine Learning, Classification, Prediction
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