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

BACKGROUND: The discrimination between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remains challenging. The present study aims to investigate the value of diagnostic models established by machine learning based on multiple laboratory data for distinguishing Mycobacterium tuber...

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Detalles Bibliográficos
Autores principales: Luo, Ying, Xue, Ying, Liu, Wei, Song, Huijuan, Huang, Yi, Tang, Guoxing, Wang, Feng, Wang, Qi, Cai, Yimin, Sun, Ziyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798640/
https://www.ncbi.nlm.nih.gov/pubmed/36581808
http://dx.doi.org/10.1186/s12879-022-07954-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798640/
https://www.ncbi.nlm.nih.gov/pubmed/36581808
http://dx.doi.org/10.1186/s12879-022-07954-7

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