Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection

Abstract

Highlights The first study to establish 28 models using machine learning for TB diagnosis. The first TB diagnostic model based on routine, TB-specific and non-specific tests. Cforest model presented excellent performance in discriminating ATB from LTBI.

Keywords

• Diagnostic algorithm
• Machine learning
• Active tuberculosis
• Latent tuberculosis infection
• Discrimination