Identification of Risk Factors Associated with Tuberculosis in Southwest Iran: A Machine Learning Method.

The obtained results demonstrated that machine-learning techniques are effective in identifying economic, social, and environmental factors associated with tuberculosis. Identifying these different factors plays a significant role in preventing and performing appropriate and timely interventions to control this disease.