Tuberculosis disease diagnosis using artificial immune recognition system.

Background: There is a high risk of tuberculosis (TB) disease diagnosis among conventional methods.

Objectives: This study is aimed at diagnosing TB using hybrid machine learning approaches.

Materials And Methods: Patient epicrisis reports obtained from the Pasteur Laboratory in the north of Iran were used.