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

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.

Detalhes bibliográficos

Principais autores:	Ying Luo, Ying Xue, Wei Liu, Huijuan Song, Yi Huang, Guoxing Tang, Feng Wang, Qi Wang, Yimin Cai, Ziyong Sun
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2022-12-01
coleção:	BMC Infectious Diseases
Assuntos:	Diagnostic algorithm Machine learning Active tuberculosis Latent tuberculosis infection Discrimination
Acesso em linha:	https://doi.org/10.1186/s12879-022-07954-7
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