Development and validation of an interpretable machine learning model for risk stratification among individuals with latent tuberculosis infection: a multicenter case-control study
Latent tuberculosis infection (LTBI) affects a quarter of the global population. Conventional LTBI risk screening tools have limited sensitivity, and existing machine learning prediction models mostly rely on costly laboratory biomarkers, restricting their application in grassroots healthcare and public health. T...