Machine Learning Techniques for Tuberculosis Prediction

8 Pages Posted: 17 Jun 2019

Date Written: March 14, 2019

Abstract

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

Suggested Citation

Tiwari, Akshita and Maji, Srabanti, Machine Learning Techniques for Tuberculosis Prediction (March 14, 2019). International Conference on Advances in Engineering Science Management & Technology (ICAESMT) - 2019, Uttaranchal University, Dehradun, India. Available at SSRN: https://ssrn.com/abstract=3404486 or http://dx.doi.org/10.2139/ssrn.3404486

Akshita Tiwari (Contact Author)

DIT University ( email )

Dehradun
Uttarakhand
India

Srabanti Maji

DIT University ( email )

Dehradun
Uttarakhand
India

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